The mathematical science that deals with the collection, analysis, and presentation of data is

Mathematical analysis 

Economics 

Data analysis 

Statistics 
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Question 2
1 pts
Sampling error is the difference between the __________ and the parameter.

Sample 

Statistic 

Sample mode 

None of the above 
Flag this Question
Question 3
1 pts
The __________ is the probability distribution used in place of the normal distribution to calculate a confidence interval when the population standard deviation is unknown.

Student's tdistribution 

Exponential distribution 

Binomial distribution 

Uniform distribution 
Flag this Question
Question 4
1 pts
A __________ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.

Student's tdistribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
Flag this Question
Question 5
1 pts
The number of rushing touchdowns for the Minnesota Vikings in a season is an example of

Interval data 

Nominal data 

Ordinal data 

Ratio data 
Flag this Question
Question 6
1 pts
Which is a continuous random variable?

The number of births in a hospital on a given day. 

The number of fives obtained in four rolls of a die. 

The number of students in an ECO 250 class. 

The hourly earnings of a call center employee in Boston. 
Flag this Question
Question 7
1 pts
The empirical rule states if a distribution is symmetrical and bellshaped, approximately 68%, 95%, and _______ of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.

98% 

99.5% 

99.7% 

99% 
Flag this Question
Question 8
1 pts
__________ is the probability that the interval estimate will include the population parameter of interest, such as a mean.

Significance level 

Margin of error 

Confidence level 

Degrees of freedom 
Flag this Question
Question 9
1 pts
The __________ is a variable that represents the probability that any given confidence interval will not contain the true population mean.

Degrees of freedom 

Confidence level 

Significance level 

Margin of error 
Flag this Question
Question 10
1 pts
What is an error that occurs when the null hypothesis is rejected when, in reality, it is true?

Type I error 

Sampling error 

None of the above 

Type II error 
Flag this Question
Question 11
1 pts
Which is a time series variable?

Titles of the top 10 movies in total revenue last week 

VISA balances of 30 students on December 31 of this year. 

Net earnings reported by Xena Corp for the last 10 quarters. 

Dollar exchange rates yesterday against 10 other world currencies 
Flag this Question
Question 12
1 pts
A tire company performs qualitycontrol tests on the monthly output of its bestselling model tire at each of its plants. Each month a random sample of 25 tires is selected from each plant and tested to see if the average tread life of that plant’s tires is above specifications. For one plant, the random sample of 25 tires had a sample mean of 39,500 miles and a sample standard deviation of 3,300 miles. The company performs a hypothesis test at the .05 level of significance to see if there is evidence that the average tread life is greater than 38,000. Based on this sample, the company should:

Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles 

Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles. 
Flag this Question
Question 13
1 pts
What is the probability of observing a sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true?

Beta 

Confidence level 

Alpha 

pvalue 
Flag this Question
Question 14
1 pts
Which is not a characteristic of a binomial experiment?

Each trial is independent of the other trials in the experiment 

The experiment consists of an infinite number of trials. 

The probability of success is equal to one minus the probability of failure 

Each trial has only two possible outcomes: a success or a failure 
Flag this Question
Question 15
1 pts
A __________ is a continuous distribution that is bell shaped and symmetrical around the mean.

Exponential distribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
Flag this Question
Question 16
1 pts
The critical zscore for an 85% confidence level is ________.

2.33 

1.96 

1.28 

1.44 
Flag this Question
Question 17
1 pts
YouTube would like to test the hypothesis that the average length of an online video watched by a user is more than 6 minutes. A random sample of 40 people watched online videos that averaged 6.6 minutes in length. The population standard deviation for the length of online videos is 1.7 minutes. YouTube would like to set
α=
0
.
05
. The pvalue for this hypothesis test would be _________.

0.0395 

0.0268 

0.0644 

0.0129 
Flag this Question
Question 18
1 pts
A professor would like to test the hypothesis that the average number of minutes that a student needs to complete a statistics exam is equal to 45 minutes. The correct hypothesis statement would be








Flag this Question
Question 19
1 pts
What should you do when the pvalue is less than the significance level?

Fail to reject the null hypothesis 

Reject the null hypothesis 

Accept the null hypothesis 

Accept the alternative hypothesis 
Flag this Question
Question 20
1 pts
Consider the following set of numbers: 10, 25, 13, 18, 40, 5. Determine the median and variance of these data.

median = 15.5, variance = 157.9 

median = 18.5, variance = 473.83 

median = 15.5, variance = 35 

median = 18.5, variance = 12.57 
Flag this Question
Question 21
1 pts
A point estimate, also called a statistic, is a single value that describes the population of interest, with the sample mean being the most common.

True 

False 
Flag this Question
Question 22
1 pts
The margin of error is the width of the confidence interval between the lower limit and the upper limit.

True 

False 
Flag this Question
Question 23
1 pts
The alternative hypothesis represents the status quo and involves stating the belief that the population parameter is a specific value and is always associated with the equal sign.

True 

False 
Flag this Question
Question 24
1 pts
A zscore measures the number of standard deviations a value is from its mode.

True 

False 
Flag this Question
Question 25
1 pts
Suppose Nike's average stock price this year is $15.00 with a standard deviation of $3.00, and Under Armour's average stock price this year is $24.00 with a standard deviation of $4.00. According to this data, Nike's stock price is more consistent than Under Armour's stock price.

True 

False 
Flag this Question
Question 26
1 pts
The Central Limit Theorem states that sample means, drawn from a normally distributed population, will be normally distributed.

True 

False 
Flag this Question
Question 27
1 pts
A low pvalue indicates a high probability that the null hypothesis is not true.

True 

False 
Flag this Question
Question 28
1 pts
If the absolute value of the test statistic is less than the critical value in a twotailed hypothesis test, then the decision is to reject the null hypothesis.

True 

False 
Flag this Question
Question 29
1 pts
Consider the hypotheses
H0: Defendant is innocent
H1: Defendant is guilty
If a court acquits every defendant, they will never commit Type II error.

True 

False 
Flag this Question
Question 30
1 pts
If we do not have evidence to support the alternative hypothesis, then we accept the null hypothesis.

True 

False 
Flag this Question
Question 31
1 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. What are your null and alternative hypotheses?








Flag this Question
Question 32
3 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Calculate the test statistic for the sample data.
Flag this Question
Question 33
3 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. State the critical value.
Flag this Question
Question 34
1 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Determine whether or not the null hypothesis should be rejected.

Fail to reject the null hypothesis. 

Reject the null hypothesis. 
Flag this Question
Question 35
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the mean number of beers.
Flag this Question
Question 36
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the median.
Flag this Question
Question 37
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the mode (mark all that apply).

0 

3 

2 

5 
Flag this Question
Question 38
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the variance.
Flag this Question
Question 39
3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy exactly 1 day?
Flag this Question
Question 40
3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy at most 2 days?
Flag this Question
Question 41
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the margin of error (in hours) for the 90% confidence interval for this sample.
Flag this Question
Question 42
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the lower confidence limit (LCL), in hours, for the 90% confidence interval for this sample.
Flag this Question
Question 43
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the upper confidence limit (UCL), in hours, for the 90% confidence interval for this sample.
Flag this Question
Question 44
3 pts
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
Calculate the mean of this distribution.
Flag this Question
Question 45
3 pts
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
Calculate the variance of this distribution.
Flag this Question
Question 46
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the mean of this distribution?
Flag this Question
Question 47
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute to work will require less than 10 minutes?
Flag this Question
Question 48
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute time will require between 12 minutes and 20 minutes?
Flag this Question
Question 49
3 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that calculate the test statistic.
Flag this Question
Question 50
3 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that state the critical value.
Flag this Question
Question 51
1 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that determine whether or not the null hypothesis should be rejected.

Reject the null hypothesis 

Fail to reject the null hypothesis 
Flag this Question
Question 52
1 pts
A tire manufacturer selected a random sample of 50 tires of a particular model chosen from the past month’s production and used destructive testing to determine the tread life of each tire. The sample mean was 42,300 miles and the sample standard deviation was 7,500 miles. What is the 95% confidence interval estimate for the tread life of that entire model produced in the past month?








Flag this Question
Question 53
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly four complaints during the next four weeks?
Flag this Question
Question 54
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of four or more complaints during the next four weeks?
Flag this Question
Question 55
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly three complaints during the next two weeks?
Flag this Question
Question 56
3 pts
Zombies eat, on average, 5 brains per day. Assume the actual number of brains eaten per day follows the normal distribution with a standard deviation of 0.29 brains. What is the probability that a zombie will eat exactly 3.2 brains tomorrow?
The mathematical science that deals with the collection, analysis, and presentation of data is

Mathematical analysis 

Economics 

Data analysis 

Statistics 
Flag this Question
Question 2
1 pts
Sampling error is the difference between the __________ and the parameter.

Sample 

Statistic 

Sample mode 

None of the above 
Flag this Question
Question 3
1 pts
The __________ is the probability distribution used in place of the normal distribution to calculate a confidence interval when the population standard deviation is unknown.

Student's tdistribution 

Exponential distribution 

Binomial distribution 

Uniform distribution 
Flag this Question
Question 4
1 pts
A __________ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.

Student's tdistribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
Flag this Question
Question 5
1 pts
The number of rushing touchdowns for the Minnesota Vikings in a season is an example of

Interval data 

Nominal data 

Ordinal data 

Ratio data 
Flag this Question
Question 6
1 pts
Which is a continuous random variable?

The number of births in a hospital on a given day. 

The number of fives obtained in four rolls of a die. 

The number of students in an ECO 250 class. 

The hourly earnings of a call center employee in Boston. 
Flag this Question
Question 7
1 pts
The empirical rule states if a distribution is symmetrical and bellshaped, approximately 68%, 95%, and _______ of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.

98% 

99.5% 

99.7% 

99% 
Flag this Question
Question 8
1 pts
__________ is the probability that the interval estimate will include the population parameter of interest, such as a mean.

Significance level 

Margin of error 

Confidence level 

Degrees of freedom 
Flag this Question
Question 9
1 pts
The __________ is a variable that represents the probability that any given confidence interval will not contain the true population mean.

Degrees of freedom 

Confidence level 

Significance level 

Margin of error 
Flag this Question
Question 10
1 pts
What is an error that occurs when the null hypothesis is rejected when, in reality, it is true?

Type I error 

Sampling error 

None of the above 

Type II error 
Flag this Question
Question 11
1 pts
Which is a time series variable?

Titles of the top 10 movies in total revenue last week 

VISA balances of 30 students on December 31 of this year. 

Net earnings reported by Xena Corp for the last 10 quarters. 

Dollar exchange rates yesterday against 10 other world currencies 
Flag this Question
Question 12
1 pts
A tire company performs qualitycontrol tests on the monthly output of its bestselling model tire at each of its plants. Each month a random sample of 25 tires is selected from each plant and tested to see if the average tread life of that plant’s tires is above specifications. For one plant, the random sample of 25 tires had a sample mean of 39,500 miles and a sample standard deviation of 3,300 miles. The company performs a hypothesis test at the .05 level of significance to see if there is evidence that the average tread life is greater than 38,000. Based on this sample, the company should:

Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles 

Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles. 
Flag this Question
Question 13
1 pts
What is the probability of observing a sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true?

Beta 

Confidence level 

Alpha 

pvalue 
Flag this Question
Question 14
1 pts
Which is not a characteristic of a binomial experiment?

Each trial is independent of the other trials in the experiment 

The experiment consists of an infinite number of trials. 

The probability of success is equal to one minus the probability of failure 

Each trial has only two possible outcomes: a success or a failure 
Flag this Question
Question 15
1 pts
A __________ is a continuous distribution that is bell shaped and symmetrical around the mean.

Exponential distribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
Flag this Question
Question 16
1 pts
The critical zscore for an 85% confidence level is ________.

2.33 

1.96 

1.28 

1.44 
Flag this Question
Question 17
1 pts
YouTube would like to test the hypothesis that the average length of an online video watched by a user is more than 6 minutes. A random sample of 40 people watched online videos that averaged 6.6 minutes in length. The population standard deviation for the length of online videos is 1.7 minutes. YouTube would like to set
α=
0
.
05
. The pvalue for this hypothesis test would be _________.

0.0395 

0.0268 

0.0644 

0.0129 
Flag this Question
Question 18
1 pts
A professor would like to test the hypothesis that the average number of minutes that a student needs to complete a statistics exam is equal to 45 minutes. The correct hypothesis statement would be








Flag this Question
Question 19
1 pts
What should you do when the pvalue is less than the significance level?

Fail to reject the null hypothesis 

Reject the null hypothesis 

Accept the null hypothesis 

Accept the alternative hypothesis 
Flag this Question
Question 20
1 pts
Consider the following set of numbers: 10, 25, 13, 18, 40, 5. Determine the median and variance of these data.

median = 15.5, variance = 157.9 

median = 18.5, variance = 473.83 

median = 15.5, variance = 35 

median = 18.5, variance = 12.57 
Flag this Question
Question 21
1 pts
A point estimate, also called a statistic, is a single value that describes the population of interest, with the sample mean being the most common.

True 

False 
Flag this Question
Question 22
1 pts
The margin of error is the width of the confidence interval between the lower limit and the upper limit.

True 

False 
Flag this Question
Question 23
1 pts
The alternative hypothesis represents the status quo and involves stating the belief that the population parameter is a specific value and is always associated with the equal sign.

True 

False 
Flag this Question
Question 24
1 pts
A zscore measures the number of standard deviations a value is from its mode.

True 

False 
Flag this Question
Question 25
1 pts
Suppose Nike's average stock price this year is $15.00 with a standard deviation of $3.00, and Under Armour's average stock price this year is $24.00 with a standard deviation of $4.00. According to this data, Nike's stock price is more consistent than Under Armour's stock price.

True 

False 
Flag this Question
Question 26
1 pts
The Central Limit Theorem states that sample means, drawn from a normally distributed population, will be normally distributed.

True 

False 
Flag this Question
Question 27
1 pts
A low pvalue indicates a high probability that the null hypothesis is not true.

True 

False 
Flag this Question
Question 28
1 pts
If the absolute value of the test statistic is less than the critical value in a twotailed hypothesis test, then the decision is to reject the null hypothesis.

True 

False 
Flag this Question
Question 29
1 pts
Consider the hypotheses
H0: Defendant is innocent
H1: Defendant is guilty
If a court acquits every defendant, they will never commit Type II error.

True 

False 
Flag this Question
Question 30
1 pts
If we do not have evidence to support the alternative hypothesis, then we accept the null hypothesis.

True 

False 
Flag this Question
Question 31
1 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. What are your null and alternative hypotheses?








Flag this Question
Question 32
3 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Calculate the test statistic for the sample data.
Flag this Question
Question 33
3 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. State the critical value.
Flag this Question
Question 34
1 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Determine whether or not the null hypothesis should be rejected.

Fail to reject the null hypothesis. 

Reject the null hypothesis. 
Flag this Question
Question 35
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the mean number of beers.
Flag this Question
Question 36
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the median.
Flag this Question
Question 37
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the mode (mark all that apply).

0 

3 

2 

5 
Flag this Question
Question 38
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the variance.
Flag this Question
Question 39
3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy exactly 1 day?
Flag this Question
Question 40
3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy at most 2 days?
Flag this Question
Question 41
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the margin of error (in hours) for the 90% confidence interval for this sample.
Flag this Question
Question 42
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the lower confidence limit (LCL), in hours, for the 90% confidence interval for this sample.
Flag this Question
Question 43
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the upper confidence limit (UCL), in hours, for the 90% confidence interval for this sample.
Flag this Question
Question 44
3 pts
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
Calculate the mean of this distribution.
Flag this Question
Question 45
3 pts
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
Calculate the variance of this distribution.
Flag this Question
Question 46
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the mean of this distribution?
Flag this Question
Question 47
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute to work will require less than 10 minutes?
Flag this Question
Question 48
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute time will require between 12 minutes and 20 minutes?
Flag this Question
Question 49
3 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that calculate the test statistic.
Flag this Question
Question 50
3 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that state the critical value.
Flag this Question
Question 51
1 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that determine whether or not the null hypothesis should be rejected.

Reject the null hypothesis 

Fail to reject the null hypothesis 
Flag this Question
Question 52
1 pts
A tire manufacturer selected a random sample of 50 tires of a particular model chosen from the past month’s production and used destructive testing to determine the tread life of each tire. The sample mean was 42,300 miles and the sample standard deviation was 7,500 miles. What is the 95% confidence interval estimate for the tread life of that entire model produced in the past month?








Flag this Question
Question 53
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly four complaints during the next four weeks?
Flag this Question
Question 54
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of four or more complaints during the next four weeks?
Flag this Question
Question 55
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly three complaints during the next two weeks?
Flag this Question
Question 56
3 pts
Zombies eat, on average, 5 brains per day. Assume the actual number of brains eaten per day follows the normal distribution with a standard deviation of 0.29 brains. What is the probability that a zombie will eat exactly 3.2 brains tomorrow?
The mathematical science that deals with the collection, analysis, and presentation of data is

Mathematical analysis 

Economics 

Data analysis 

Statistics 
Flag this Question
Question 2
1 pts
Sampling error is the difference between the __________ and the parameter.

Sample 

Statistic 

Sample mode 

None of the above 
Flag this Question
Question 3
1 pts
The __________ is the probability distribution used in place of the normal distribution to calculate a confidence interval when the population standard deviation is unknown.

Student's tdistribution 

Exponential distribution 

Binomial distribution 

Uniform distribution 
Flag this Question
Question 4
1 pts
A __________ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.

Student's tdistribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
Flag this Question
Question 5
1 pts
The number of rushing touchdowns for the Minnesota Vikings in a season is an example of

Interval data 

Nominal data 

Ordinal data 

Ratio data 
Flag this Question
Question 6
1 pts
Which is a continuous random variable?

The number of births in a hospital on a given day. 

The number of fives obtained in four rolls of a die. 

The number of students in an ECO 250 class. 

The hourly earnings of a call center employee in Boston. 
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Question 7
1 pts
The empirical rule states if a distribution is symmetrical and bellshaped, approximately 68%, 95%, and _______ of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.

98% 

99.5% 

99.7% 

99% 
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Question 8
1 pts
__________ is the probability that the interval estimate will include the population parameter of interest, such as a mean.

Significance level 

Margin of error 

Confidence level 

Degrees of freedom 
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Question 9
1 pts
The __________ is a variable that represents the probability that any given confidence interval will not contain the true population mean.

Degrees of freedom 

Confidence level 

Significance level 

Margin of error 
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Question 10
1 pts
What is an error that occurs when the null hypothesis is rejected when, in reality, it is true?

Type I error 

Sampling error 

None of the above 

Type II error 
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Question 11
1 pts
Which is a time series variable?

Titles of the top 10 movies in total revenue last week 

VISA balances of 30 students on December 31 of this year. 

Net earnings reported by Xena Corp for the last 10 quarters. 

Dollar exchange rates yesterday against 10 other world currencies 
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Question 12
1 pts
A tire company performs qualitycontrol tests on the monthly output of its bestselling model tire at each of its plants. Each month a random sample of 25 tires is selected from each plant and tested to see if the average tread life of that plant’s tires is above specifications. For one plant, the random sample of 25 tires had a sample mean of 39,500 miles and a sample standard deviation of 3,300 miles. The company performs a hypothesis test at the .05 level of significance to see if there is evidence that the average tread life is greater than 38,000. Based on this sample, the company should:

Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles 

Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles. 
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Question 13
1 pts
What is the probability of observing a sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true?

Beta 

Confidence level 

Alpha 

pvalue 
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Question 14
1 pts
Which is not a characteristic of a binomial experiment?

Each trial is independent of the other trials in the experiment 

The experiment consists of an infinite number of trials. 

The probability of success is equal to one minus the probability of failure 

Each trial has only two possible outcomes: a success or a failure 
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Question 15
1 pts
A __________ is a continuous distribution that is bell shaped and symmetrical around the mean.

Exponential distribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
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Question 16
1 pts
The critical zscore for an 85% confidence level is ________.

2.33 

1.96 

1.28 

1.44 
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Question 17
1 pts
YouTube would like to test the hypothesis that the average length of an online video watched by a user is more than 6 minutes. A random sample of 40 people watched online videos that averaged 6.6 minutes in length. The population standard deviation for the length of online videos is 1.7 minutes. YouTube would like to set
α=
0
.
05
. The pvalue for this hypothesis test would be _________.

0.0395 

0.0268 

0.0644 

0.0129 
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Question 18
1 pts
A professor would like to test the hypothesis that the average number of minutes that a student needs to complete a statistics exam is equal to 45 minutes. The correct hypothesis statement would be








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Question 19
1 pts
What should you do when the pvalue is less than the significance level?

Fail to reject the null hypothesis 

Reject the null hypothesis 

Accept the null hypothesis 

Accept the alternative hypothesis 
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Question 20
1 pts
Consider the following set of numbers: 10, 25, 13, 18, 40, 5. Determine the median and variance of these data.

median = 15.5, variance = 157.9 

median = 18.5, variance = 473.83 

median = 15.5, variance = 35 

median = 18.5, variance = 12.57 
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Question 21
1 pts
A point estimate, also called a statistic, is a single value that describes the population of interest, with the sample mean being the most common.

True 

False 
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Question 22
1 pts
The margin of error is the width of the confidence interval between the lower limit and the upper limit.

True 

False 
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Question 23
1 pts
The alternative hypothesis represents the status quo and involves stating the belief that the population parameter is a specific value and is always associated with the equal sign.

True 

False 
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Question 24
1 pts
A zscore measures the number of standard deviations a value is from its mode.

True 

False 
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Question 25
1 pts
Suppose Nike's average stock price this year is $15.00 with a standard deviation of $3.00, and Under Armour's average stock price this year is $24.00 with a standard deviation of $4.00. According to this data, Nike's stock price is more consistent than Under Armour's stock price.

True 

False 
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Question 26
1 pts
The Central Limit Theorem states that sample means, drawn from a normally distributed population, will be normally distributed.

True 

False 
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Question 27
1 pts
A low pvalue indicates a high probability that the null hypothesis is not true.

True 

False 
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Question 28
1 pts
If the absolute value of the test statistic is less than the critical value in a twotailed hypothesis test, then the decision is to reject the null hypothesis.

True 

False 
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Question 29
1 pts
Consider the hypotheses
H0: Defendant is innocent
H1: Defendant is guilty
If a court acquits every defendant, they will never commit Type II error.

True 

False 
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Question 30
1 pts
If we do not have evidence to support the alternative hypothesis, then we accept the null hypothesis.

True 

False 
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Question 31
1 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. What are your null and alternative hypotheses?








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Question 32
3 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Calculate the test statistic for the sample data.
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Question 33
3 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. State the critical value.
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Question 34
1 pts
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Determine whether or not the null hypothesis should be rejected.

Fail to reject the null hypothesis. 

Reject the null hypothesis. 
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Question 35
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the mean number of beers.
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Question 36
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the median.
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Question 37
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the mode (mark all that apply).

0 

3 

2 

5 
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Question 38
3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
Calculate the variance.
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Question 39
3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy exactly 1 day?
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Question 40
3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy at most 2 days?
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Question 41
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the margin of error (in hours) for the 90% confidence interval for this sample.
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Question 42
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the lower confidence limit (LCL), in hours, for the 90% confidence interval for this sample.
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Question 43
3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the upper confidence limit (UCL), in hours, for the 90% confidence interval for this sample.
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Question 44
3 pts
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
Calculate the mean of this distribution.
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Question 45
3 pts
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
Calculate the variance of this distribution.
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Question 46
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the mean of this distribution?
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Question 47
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute to work will require less than 10 minutes?
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Question 48
3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute time will require between 12 minutes and 20 minutes?
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Question 49
3 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that calculate the test statistic.
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Question 50
3 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that state the critical value.
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Question 51
1 pts
Consider the following hypothesis:
H
1
:
μ>
25
Given that determine whether or not the null hypothesis should be rejected.

Reject the null hypothesis 

Fail to reject the null hypothesis 
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Question 52
1 pts
A tire manufacturer selected a random sample of 50 tires of a particular model chosen from the past month’s production and used destructive testing to determine the tread life of each tire. The sample mean was 42,300 miles and the sample standard deviation was 7,500 miles. What is the 95% confidence interval estimate for the tread life of that entire model produced in the past month?








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Question 53
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly four complaints during the next four weeks?
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Question 54
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of four or more complaints during the next four weeks?
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Question 55
3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly three complaints during the next two weeks?
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Question 56
3 pts
Zombies eat, on average, 5 brains per day. Assume the actual number of brains eaten per day follows the normal distribution with a standard deviation of 0.29 brains. What is the probability that a zombie will eat exactly 3.2 brains tomorrow?
The mathematical science that deals with the collection, analysis, and presentation of data is
The mathematical science that deals with the collection, analysis, and presentation of data is

Mathematical analysis 

Economics 

Data analysis 

Statistics 
Mathematical analysis
Economics
Data analysis
Statistics
Mathematical analysis
Mathematical analysis
Mathematical analysis
Mathematical analysis
Economics
Economics
Economics
Economics
Data analysis
Data analysis
Data analysis
Data analysis
Statistics
Statistics
Statistics
Statistics
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Question 2
Question 2Question 2Question 2
1 pts
1 pts1 pts1 pts
Sampling error is the difference between the __________ and the parameter.
Sampling error is the difference between the __________ and the parameter.

Sample 

Statistic 

Sample mode 

None of the above 
Sample
Statistic
Sample mode
None of the above
Sample
Sample
Sample
Sample
Statistic
Statistic
Statistic
Statistic
Sample mode
Sample mode
Sample mode
Sample mode
None of the above
None of the above
None of the above
None of the above
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Question 3
Question 3Question 3Question 3
1 pts
1 pts1 pts1 pts
The __________ is the probability distribution used in place of the normal distribution to calculate a confidence interval when the population standard deviation is unknown.
The __________ is the probability distribution used in place of the normal distribution to calculate a confidence interval when the population standard deviation is unknown.

Student's tdistribution 

Exponential distribution 

Binomial distribution 

Uniform distribution 
Student's tdistribution
Exponential distribution
Binomial distribution
Uniform distribution
Student's tdistribution
Student's tdistribution
Student's tdistribution
Student's tdistribution
Exponential distribution
Exponential distribution
Exponential distribution
Exponential distribution
Binomial distribution
Binomial distribution
Binomial distribution
Binomial distribution
Uniform distribution
Uniform distribution
Uniform distribution
Uniform distribution
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Question 4
Question 4Question 4Question 4
1 pts
1 pts1 pts1 pts
A __________ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.
A __________ is a distribution in which the probability of any interval occurring is equal to any other interval with the same width.

Student's tdistribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
Student's tdistribution
Uniform distribution
Normal distribution
Binomial distribution
Student's tdistribution
Student's tdistribution
Student's tdistribution
Student's tdistribution
Uniform distribution
Uniform distribution
Uniform distribution
Uniform distribution
Normal distribution
Normal distribution
Normal distribution
Normal distribution
Binomial distribution
Binomial distribution
Binomial distribution
Binomial distribution
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Question 5
Question 5Question 5Question 5
1 pts
1 pts1 pts1 pts
The number of rushing touchdowns for the Minnesota Vikings in a season is an example of
The number of rushing touchdowns for the Minnesota Vikings in a season is an example of

Interval data 

Nominal data 

Ordinal data 

Ratio data 
Interval data
Nominal data
Ordinal data
Ratio data
Interval data
Interval data
Interval data
Interval data
Nominal data
Nominal data
Nominal data
Nominal data
Ordinal data
Ordinal data
Ordinal data
Ordinal data
Ratio data
Ratio data
Ratio data
Ratio data
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Question 6
Question 6Question 6Question 6
1 pts
1 pts1 pts1 pts
Which is a continuous random variable?
Which is a continuous random variable?

The number of births in a hospital on a given day. 

The number of fives obtained in four rolls of a die. 

The number of students in an ECO 250 class. 

The hourly earnings of a call center employee in Boston. 
The number of births in a hospital on a given day.
The number of fives obtained in four rolls of a die.
The number of students in an ECO 250 class.
The hourly earnings of a call center employee in Boston.
The number of births in a hospital on a given day.
The number of births in a hospital on a given day.
The number of births in a hospital on a given day.
The number of births in a hospital on a given day.
The number of fives obtained in four rolls of a die.
The number of fives obtained in four rolls of a die.
The number of fives obtained in four rolls of a die.
The number of fives obtained in four rolls of a die.
The number of students in an ECO 250 class.
The number of students in an ECO 250 class.
The number of students in an ECO 250 class.
The number of students in an ECO 250 class.
The hourly earnings of a call center employee in Boston.
The hourly earnings of a call center employee in Boston.
The hourly earnings of a call center employee in Boston.
The hourly earnings of a call center employee in Boston.
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Question 7
Question 7Question 7Question 7
1 pts
1 pts1 pts1 pts
The empirical rule states if a distribution is symmetrical and bellshaped, approximately 68%, 95%, and _______ of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.
The empirical rule states if a distribution is symmetrical and bellshaped, approximately 68%, 95%, and _______ of its data values will fall within one, two, and three standard deviations above and below the mean, respectively.

98% 

99.5% 

99.7% 

99% 
98%
99.5%
99.7%
99%
98%
98%
98%
98%
99.5%
99.5%
99.5%
99.5%
99.7%
99.7%
99.7%
99.7%
99%
99%
99%
99%
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Question 8
Question 8Question 8Question 8
1 pts
1 pts1 pts1 pts
__________ is the probability that the interval estimate will include the population parameter of interest, such as a mean.
__________ is the probability that the interval estimate will include the population parameter of interest, such as a mean.

Significance level 

Margin of error 

Confidence level 

Degrees of freedom 
Significance level
Margin of error
Confidence level
Degrees of freedom
Significance level
Significance level
Significance level
Significance level
Margin of error
Margin of error
Margin of error
Margin of error
Confidence level
Confidence level
Confidence level
Confidence level
Degrees of freedom
Degrees of freedom
Degrees of freedom
Degrees of freedom
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Question 9
Question 9Question 9Question 9
1 pts
1 pts1 pts1 pts
The __________ is a variable that represents the probability that any given confidence interval will not contain the true population mean.
The __________ is a variable that represents the probability that any given confidence interval will not contain the true population mean.

Degrees of freedom 

Confidence level 

Significance level 

Margin of error 
Degrees of freedom
Confidence level
Significance level
Margin of error
Degrees of freedom
Degrees of freedom
Degrees of freedom
Degrees of freedom
Confidence level
Confidence level
Confidence level
Confidence level
Significance level
Significance level
Significance level
Significance level
Margin of error
Margin of error
Margin of error
Margin of error
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Question 10
Question 10Question 10Question 10
1 pts
1 pts1 pts1 pts
What is an error that occurs when the null hypothesis is rejected when, in reality, it is true?
What is an error that occurs when the null hypothesis is rejected when, in reality, it is true?

Type I error 

Sampling error 

None of the above 

Type II error 
Type I error
Sampling error
None of the above
Type II error
Type I error
Type I error
Type I error
Type I error
Sampling error
Sampling error
Sampling error
Sampling error
None of the above
None of the above
None of the above
None of the above
Type II error
Type II error
Type II error
Type II error
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Question 11
Question 11Question 11Question 11
1 pts
1 pts1 pts1 pts
Which is a time series variable?
Which is a time series variable?

Titles of the top 10 movies in total revenue last week 

VISA balances of 30 students on December 31 of this year. 

Net earnings reported by Xena Corp for the last 10 quarters. 

Dollar exchange rates yesterday against 10 other world currencies 
Titles of the top 10 movies in total revenue last week
VISA balances of 30 students on December 31 of this year.
Net earnings reported by Xena Corp for the last 10 quarters.
Dollar exchange rates yesterday against 10 other world currencies
Titles of the top 10 movies in total revenue last week
Titles of the top 10 movies in total revenue last week
Titles of the top 10 movies in total revenue last week
Titles of the top 10 movies in total revenue last week
VISA balances of 30 students on December 31 of this year.
VISA balances of 30 students on December 31 of this year.
VISA balances of 30 students on December 31 of this year.
VISA balances of 30 students on December 31 of this year.
Net earnings reported by Xena Corp for the last 10 quarters.
Net earnings reported by Xena Corp for the last 10 quarters.
Net earnings reported by Xena Corp for the last 10 quarters.
Net earnings reported by Xena Corp for the last 10 quarters.
Dollar exchange rates yesterday against 10 other world currencies
Dollar exchange rates yesterday against 10 other world currencies
Dollar exchange rates yesterday against 10 other world currencies
Dollar exchange rates yesterday against 10 other world currencies
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Question 12
Question 12Question 12Question 12
1 pts
1 pts1 pts1 pts
A tire company performs qualitycontrol tests on the monthly output of its bestselling model tire at each of its plants. Each month a random sample of 25 tires is selected from each plant and tested to see if the average tread life of that plant’s tires is above specifications. For one plant, the random sample of 25 tires had a sample mean of 39,500 miles and a sample standard deviation of 3,300 miles. The company performs a hypothesis test at the .05 level of significance to see if there is evidence that the average tread life is greater than 38,000. Based on this sample, the company should:
A tire company performs qualitycontrol tests on the monthly output of its bestselling model tire at each of its plants. Each month a random sample of 25 tires is selected from each plant and tested to see if the average tread life of that plant’s tires is above specifications. For one plant, the random sample of 25 tires had a sample mean of 39,500 miles and a sample standard deviation of 3,300 miles. The company performs a hypothesis test at the .05 level of significance to see if there is evidence that the average tread life is greater than 38,000. Based on this sample, the company should:

Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles. 

Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles 

Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles. 
Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles
Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles.
Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Fail to reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is not evidence that the average tread life is greater than 38,000 miles.
Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles
Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles
Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles
Fail to reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles
Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles.
Reject the null hypothesis and conclude there is evidence that the average tread life is greater than 38,000 miles.
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Question 13
Question 13Question 13Question 13
1 pts
1 pts1 pts1 pts
What is the probability of observing a sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true?
What is the probability of observing a sample mean at least as extreme as the one selected for the hypothesis test, assuming the null hypothesis is true?

Beta 

Confidence level 

Alpha 

pvalue 
Beta
Confidence level
Alpha
pvalue
Beta
Beta
Beta
Beta
Confidence level
Confidence level
Confidence level
Confidence level
Alpha
Alpha
Alpha
Alpha
pvalue
pvalue
pvalue
pvalue
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Question 14
Question 14Question 14Question 14
1 pts
1 pts1 pts1 pts
Which is not a characteristic of a binomial experiment?
Which is not a characteristic of a binomial experiment?not

Each trial is independent of the other trials in the experiment 

The experiment consists of an infinite number of trials. 

The probability of success is equal to one minus the probability of failure 

Each trial has only two possible outcomes: a success or a failure 
Each trial is independent of the other trials in the experiment
The experiment consists of an infinite number of trials.
The probability of success is equal to one minus the probability of failure
Each trial has only two possible outcomes: a success or a failure
Each trial is independent of the other trials in the experiment
Each trial is independent of the other trials in the experiment
Each trial is independent of the other trials in the experiment
Each trial is independent of the other trials in the experiment
The experiment consists of an infinite number of trials.
The experiment consists of an infinite number of trials.
The experiment consists of an infinite number of trials.
The experiment consists of an infinite number of trials.
The probability of success is equal to one minus the probability of failure
The probability of success is equal to one minus the probability of failure
The probability of success is equal to one minus the probability of failure
The probability of success is equal to one minus the probability of failure
Each trial has only two possible outcomes: a success or a failure
Each trial has only two possible outcomes: a success or a failure
Each trial has only two possible outcomes: a success or a failure
Each trial has only two possible outcomes: a success or a failure
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Question 15
Question 15Question 15Question 15
1 pts
1 pts1 pts1 pts
A __________ is a continuous distribution that is bell shaped and symmetrical around the mean.
A __________ is a continuous distribution that is bell shaped and symmetrical around the mean.

Exponential distribution 

Uniform distribution 

Normal distribution 

Binomial distribution 
Exponential distribution
Uniform distribution
Normal distribution
Binomial distribution
Exponential distribution
Exponential distribution
Exponential distribution
Exponential distribution
Uniform distribution
Uniform distribution
Uniform distribution
Uniform distribution
Normal distribution
Normal distribution
Normal distribution
Normal distribution
Binomial distribution
Binomial distribution
Binomial distribution
Binomial distribution
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Question 16
Question 16Question 16Question 16
1 pts
1 pts1 pts1 pts
The critical zscore for an 85% confidence level is ________.
The critical zscore for an 85% confidence level is ________.

2.33 

1.96 

1.28 

1.44 
2.33
1.96
1.28
1.44
2.33
2.33
2.33
2.33
1.96
1.96
1.96
1.96
1.28
1.28
1.28
1.28
1.44
1.44
1.44
1.44
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Question 17
Question 17Question 17Question 17
1 pts
1 pts1 pts1 pts
YouTube would like to test the hypothesis that the average length of an online video watched by a user is more than 6 minutes. A random sample of 40 people watched online videos that averaged 6.6 minutes in length. The population standard deviation for the length of online videos is 1.7 minutes. YouTube would like to set
YouTube would like to test the hypothesis that the average length of an online video watched by a user is more than 6 minutes. A random sample of 40 people watched online videos that averaged 6.6 minutes in length. The population standard deviation for the length of online videos is 1.7 minutes. YouTube would like to set
α=
α=
0
0
.
.
05
05
. The pvalue for this hypothesis test would be _________.
. The pvalue for this hypothesis test would be _________.p

0.0395 

0.0268 

0.0644 

0.0129 
0.0395
0.0268
0.0644
0.0129
0.0395
0.0395
0.0395
0.0395
0.0268
0.0268
0.0268
0.0268
0.0644
0.0644
0.0644
0.0644
0.0129
0.0129
0.0129
0.0129
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Question 18
Question 18Question 18Question 18
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1 pts1 pts1 pts
A professor would like to test the hypothesis that the average number of minutes that a student needs to complete a statistics exam is equal to 45 minutes. The correct hypothesis statement would be
A professor would like to test the hypothesis that the average number of minutes that a student needs to complete a statistics exam is equal to 45 minutes. The correct hypothesis statement would be








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Question 19
Question 19Question 19Question 19
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What should you do when the pvalue is less than the significance level?
What should you do when the pvalue is less than the significance level?p

Fail to reject the null hypothesis 

Reject the null hypothesis 

Accept the null hypothesis 

Accept the alternative hypothesis 
Fail to reject the null hypothesis
Reject the null hypothesis
Accept the null hypothesis
Accept the alternative hypothesis
Fail to reject the null hypothesis
Fail to reject the null hypothesis
Fail to reject the null hypothesis
Fail to reject the null hypothesis
Reject the null hypothesis
Reject the null hypothesis
Reject the null hypothesis
Reject the null hypothesis
Accept the null hypothesis
Accept the null hypothesis
Accept the null hypothesis
Accept the null hypothesis
Accept the alternative hypothesis
Accept the alternative hypothesis
Accept the alternative hypothesis
Accept the alternative hypothesis
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Question 20
Question 20Question 20Question 20
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Consider the following set of numbers: 10, 25, 13, 18, 40, 5. Determine the median and variance of these data.
Consider the following set of numbers: 10, 25, 13, 18, 40, 5. Determine the median and variance of these data.

median = 15.5, variance = 157.9 

median = 18.5, variance = 473.83 

median = 15.5, variance = 35 

median = 18.5, variance = 12.57 
median = 15.5, variance = 157.9
median = 18.5, variance = 473.83
median = 15.5, variance = 35
median = 18.5, variance = 12.57
median = 15.5, variance = 157.9
median = 15.5, variance = 157.9
median = 15.5, variance = 157.9
median = 15.5, variance = 157.9
median = 18.5, variance = 473.83
median = 18.5, variance = 473.83
median = 18.5, variance = 473.83
median = 18.5, variance = 473.83
median = 15.5, variance = 35
median = 15.5, variance = 35
median = 15.5, variance = 35
median = 15.5, variance = 35
median = 18.5, variance = 12.57
median = 18.5, variance = 12.57
median = 18.5, variance = 12.57
median = 18.5, variance = 12.57
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Question 21
Question 21Question 21Question 21
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A point estimate, also called a statistic, is a single value that describes the population of interest, with the sample mean being the most common.
A point estimate, also called a statistic, is a single value that describes the population of interest, with the sample mean being the most common.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 22
Question 22Question 22Question 22
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The margin of error is the width of the confidence interval between the lower limit and the upper limit.
The margin of error is the width of the confidence interval between the lower limit and the upper limit.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 23
Question 23Question 23Question 23
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The alternative hypothesis represents the status quo and involves stating the belief that the population parameter is a specific value and is always associated with the equal sign.
The alternative hypothesis represents the status quo and involves stating the belief that the population parameter is a specific value and is always associated with the equal sign.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 24
Question 24Question 24Question 24
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A zscore measures the number of standard deviations a value is from its mode.
A zscore measures the number of standard deviations a value is from its mode.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 25
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Suppose Nike's average stock price this year is $15.00 with a standard deviation of $3.00, and Under Armour's average stock price this year is $24.00 with a standard deviation of $4.00. According to this data, Nike's stock price is more consistent than Under Armour's stock price.
Suppose Nike's average stock price this year is $15.00 with a standard deviation of $3.00, and Under Armour's average stock price this year is $24.00 with a standard deviation of $4.00. According to this data, Nike's stock price is more consistent than Under Armour's stock price.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 26
Question 26Question 26Question 26
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The Central Limit Theorem states that sample means, drawn from a normally distributed population, will be normally distributed.
The Central Limit Theorem states that sample means, drawn from a normally distributed population, will be normally distributed.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 27
Question 27Question 27Question 27
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A low pvalue indicates a high probability that the null hypothesis is not true.
A low pvalue indicates a high probability that the null hypothesis is not true.p

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 28
Question 28Question 28Question 28
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If the absolute value of the test statistic is less than the critical value in a twotailed hypothesis test, then the decision is to reject the null hypothesis.
If the absolute value of the test statistic is less than the critical value in a twotailed hypothesis test, then the decision is to reject the null hypothesis.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 29
Question 29Question 29Question 29
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Consider the hypotheses
Consider the hypotheses
H0: Defendant is innocent
H0: Defendant is innocentH0: Defendant is innocent
H1: Defendant is guilty
H1: Defendant is guiltyH1: Defendant is guilty
If a court acquits every defendant, they will never commit Type II error.
If a court acquits every defendant, they will never commit Type II error.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 30
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If we do not have evidence to support the alternative hypothesis, then we accept the null hypothesis.
If we do not have evidence to support the alternative hypothesis, then we accept the null hypothesis.

True 

False 
True
False
True
True
True
True
False
False
False
False
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Question 31
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Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. What are your null and alternative hypotheses?
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. What are your null and alternative hypotheses?Assume the population standard deviation is known to be 5.25.








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Question 32
Question 32Question 32Question 32
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Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Calculate the test statistic for the sample data.
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Calculate the test statistic for the sample data.Assume the population standard deviation is known to be 5.25.
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Question 33
Question 33Question 33Question 33
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Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. State the critical value.
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. State the critical value.Assume the population standard deviation is known to be 5.25.
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Question 34
Question 34Question 34Question 34
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Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Determine whether or not the null hypothesis should be rejected.
Suppose the average puppy weighs 10 pounds. A sample of 10 puppies yields a sample mean of 13.2 pounds and a sample standard deviation of 2.78 pounds. Assume the population standard deviation is known to be 5.25.You want to test whether the sample mean differs from the population mean of 10 pounds at a 5 percent level of significance using a twotailed test. Determine whether or not the null hypothesis should be rejected.Assume the population standard deviation is known to be 5.25.

Fail to reject the null hypothesis. 

Reject the null hypothesis. 
Fail to reject the null hypothesis.
Reject the null hypothesis.
Fail to reject the null hypothesis.
Fail to reject the null hypothesis.
Fail to reject the null hypothesis.
Fail to reject the null hypothesis.
Reject the null hypothesis.
Reject the null hypothesis.
Reject the null hypothesis.
Reject the null hypothesis.
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Question 35
Question 35Question 35Question 35
3 pts
3 pts3 pts3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
3
5
0
2
5
3.
3
5
0
2
5
3.
3
3
3
5
5
5
0
0
0
2
2
2
5
5
5
3.
3.
3.
Calculate the mean number of beers.
Calculate the mean number of beers.
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Question 36
Question 36Question 36Question 36
3 pts
3 pts3 pts3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
3
5
0
2
5
3.
3
5
0
2
5
3.
3
3
3
5
5
5
0
0
0
2
2
2
5
5
5
3.
3.
3.
Calculate the median.
Calculate the median.
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Question 37
Question 37Question 37Question 37
3 pts
3 pts3 pts3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
3
5
0
2
5
3.
3
5
0
2
5
3.
3
3
3
5
5
5
0
0
0
2
2
2
5
5
5
3.
3.
3.
Calculate the mode (mark all that apply).
Calculate the mode (mark all that apply).

0 

3 

2 

5 
0
3
2
5
0
0
0
0
3
3
3
3
2
2
2
2
5
5
5
5
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Question 38
Question 38Question 38Question 38
3 pts
3 pts3 pts3 pts
Consider the following data on the number of beers consumed by a sample of football fans during a game:
Consider the following data on the number of beers consumed by a sample of football fans during a game:
3 
5 
0 
2 
5 
3. 
3
5
0
2
5
3.
3
5
0
2
5
3.
3
3
3
5
5
5
0
0
0
2
2
2
5
5
5
3.
3.
3.
Calculate the variance.
Calculate the variance.
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Question 39
Question 39Question 39Question 39
3 pts
3 pts3 pts3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy exactly 1 day?
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy exactly 1 day?
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Question 40
Question 40Question 40Question 40
3 pts
3 pts3 pts3 pts
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy at most 2 days?
You check the weather forecast every morning. On average, it is rainy 20 percent of the time. Consider the next 5 days. What is the probability it will be rainy at most 2 days?
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Question 41
Question 41Question 41Question 41
3 pts
3 pts3 pts3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the margin of error (in hours) for the 90% confidence interval for this sample.
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the margin of error (in hours) for the 90% confidence interval for this sample.
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Question 42
Question 42Question 42Question 42
3 pts
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The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the lower confidence limit (LCL), in hours, for the 90% confidence interval for this sample.
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the lower confidence limit (LCL), in hours, for the 90% confidence interval for this sample.
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Question 43
Question 43Question 43Question 43
3 pts
3 pts3 pts3 pts
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the upper confidence limit (UCL), in hours, for the 90% confidence interval for this sample.
The average batter life of the iPhone 4S is reported to be 6.0 hours by Apple. Assume that the population standard deviation for the better life for this cell phone is 30 minutes. A random sample of 50 iPhones had an average better life of 5.7 hours. Determine the upper confidence limit (UCL), in hours, for the 90% confidence interval for this sample.
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Question 44
Question 44Question 44Question 44
3 pts
3 pts3 pts3 pts
Consider the following discrete probability distribution.
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
X
P(X)
0
0.2
1
0.3
2
0.4
3
0.1
Total
1.0
X
P(X)
X
X
X X X
P(X)
P(X)
P(X) P(X) P(X)
0
0.2
0
0
0
0.2
0.2
0.2
1
0.3
1
1
1
0.3
0.3
0.3
2
0.4
2
2
2
0.4
0.4
0.4
3
0.1
3
3
3
0.1
0.1
0.1
Total
1.0
Total
Total
Total
1.0
1.0
1.0
Calculate the mean of this distribution.
Calculate the mean of this distribution.
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Question 45
Question 45Question 45Question 45
3 pts
3 pts3 pts3 pts
Consider the following discrete probability distribution.
Consider the following discrete probability distribution.
X 
P(X) 
0 
0.2 
1 
0.3 
2 
0.4 
3 
0.1 
Total 
1.0 
X
P(X)
0
0.2
1
0.3
2
0.4
3
0.1
Total
1.0
X
P(X)
X
X
X X X
P(X)
P(X)
P(X) P(X) P(X)
0
0.2
0
0
0
0.2
0.2
0.2
1
0.3
1
1
1
0.3
0.3
0.3
2
0.4
2
2
2
0.4
0.4
0.4
3
0.1
3
3
3
0.1
0.1
0.1
Total
1.0
Total
Total
Total
1.0
1.0
1.0
Calculate the variance of this distribution.
Calculate the variance of this distribution.
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Question 46
Question 46Question 46Question 46
3 pts
3 pts3 pts3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the mean of this distribution?
What is the mean of this distribution?
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Question 47
Question 47Question 47Question 47
3 pts
3 pts3 pts3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute to work will require less than 10 minutes?
What is the probability that the employee's next commute to work will require less than 10 minutes?
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Question 48
Question 48Question 48Question 48
3 pts
3 pts3 pts3 pts
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
The commute time to work for a particular employee follows a continuous uniform distribution with a minimum time of 9 minutes and a maximum time of 25 minutes.
What is the probability that the employee's next commute time will require between 12 minutes and 20 minutes?
What is the probability that the employee's next commute time will require between 12 minutes and 20 minutes?
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Question 49
Question 49Question 49Question 49
3 pts
3 pts3 pts3 pts
Consider the following hypothesis:
Consider the following hypothesis:
H
H
1
1
:
:
μ>
μ>
25
25
Given that calculate the test statistic.
Given that calculate the test statistic.
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Question 50
Question 50Question 50Question 50
3 pts
3 pts3 pts3 pts
Consider the following hypothesis:
Consider the following hypothesis:
H
H
1
1
:
:
μ>
μ>
25
25
Given that state the critical value.
Given that state the critical value.
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Question 51
Question 51Question 51Question 51
1 pts
1 pts1 pts1 pts
Consider the following hypothesis:
Consider the following hypothesis:
H
H
1
1
:
:
μ>
μ>
25
25
Given that determine whether or not the null hypothesis should be rejected.
Given that determine whether or not the null hypothesis should be rejected.

Reject the null hypothesis 

Fail to reject the null hypothesis 
Reject the null hypothesis
Fail to reject the null hypothesis
Reject the null hypothesis
Reject the null hypothesis
Reject the null hypothesis
Reject the null hypothesis
Fail to reject the null hypothesis
Fail to reject the null hypothesis
Fail to reject the null hypothesis
Fail to reject the null hypothesis
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Question 52
Question 52Question 52Question 52
1 pts
1 pts1 pts1 pts
A tire manufacturer selected a random sample of 50 tires of a particular model chosen from the past month’s production and used destructive testing to determine the tread life of each tire. The sample mean was 42,300 miles and the sample standard deviation was 7,500 miles. What is the 95% confidence interval estimate for the tread life of that entire model produced in the past month?
A tire manufacturer selected a random sample of 50 tires of a particular model chosen from the past month’s production and used destructive testing to determine the tread life of each tire. The sample mean was 42,300 miles and the sample standard deviation was 7,500 miles. What is the 95% confidence interval estimate for the tread life of that entire model produced in the past month?








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Question 53
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Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly four complaints during the next four weeks?
What is the probability of exactly four complaints during the next four weeks?
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Question 54
Question 54Question 54Question 54
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3 pts3 pts3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of four or more complaints during the next four weeks?
What is the probability of four or more complaints during the next four weeks?
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Question 55
Question 55Question 55Question 55
3 pts
3 pts3 pts3 pts
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
Suppose the average number of complaints received by Christiana Hospital from patients is 7.4 every four weeks. Assume the number of complaints per month follows the Poisson distribution.
What is the probability of exactly three complaints during the next two weeks?
What is the probability of exactly three complaints during the next two weeks?
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Question 56
Question 56Question 56Question 56
3 pts
3 pts3 pts3 pts
Zombies eat, on average, 5 brains per day. Assume the actual number of brains eaten per day follows the normal distribution with a standard deviation of 0.29 brains. What is the probability that a zombie will eat exactly 3.2 brains tomorrow?
Zombies eat, on average, 5 brains per day. Assume the actual number of brains eaten per day follows the normal distribution with a standard deviation of 0.29 brains. What is the probability that a zombie will eat exactly 3.2 brains tomorrow?