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For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several Capella course files to complete this assessment.

A solid understanding of descriptive statistics is foundational to grasping the concepts presented in inferential statistics. This assessment measures your understanding of key elements of descriptive statistics.

SHOW LESS

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

  • Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
    • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
    • Analyze the relevant data from the computation, interpretation, and application of z-scores.
    • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
  • Competency 2: Analyze the decision-making process of data analysis.
    • Analyze meaningful versus meaningless variables reported in descriptive statistics.
    • Apply the logic of null hypothesis testing to cases.
  • Competency 4: Interpret the results of statistical analyses.
    • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
    • Interpret descriptive statistics for meaningful variables.
  • Competency 5: Apply a statistical program’s procedure to data.
    • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
    • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
  • Competency 7: Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
    • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.

     

Read Assessment 1 Context [DOC] for important information on the following topics:

SHOW LESS

  • The standard normal distribution and scores.
  • Hypothesis testing.
  • Null and alternative hypotheses.
  • Type I and Type II errors.
  • Probability values and the null hypothesis.

 

APA Resources

Because this is a psychology course, you need to format this assessment according to APA guidelines. Additional resources about APA can be found in the Research Resources in the courseroom navigation menu. Use the resources to guide your work.

  • American Psychological Association. (2010). Publication manual of the American Psychological Association(6th ed.). Washington, DC: Author.
    • This resource is available from the Capella University Bookstore.

Required Resources

The following resources are required to complete the assessment.

SPSS Software

The following statistical analysis software is required to complete your assessments in this course:

  • IBM SPSS Statistics Standard or Premium GradPack (recent version for Windows or Mac).
    • As a Capella learner, you have access to the more robust IBM SPSS Statistics PremiumGradPack arranged at an academic discount through a contracted vendor.
    • Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners.
Data Set and Software Procedure
  • Data Set Instructions [DOCX].
    • These instructions explain how to access the data needed for this assessment.
  • grades.sav.
    • This file contains the data set used with SPSS to complete the assessment.
Assessment Template and Output Instructions
  • Copy/Export Output Instructions [DOCX].
    • This document provides instructions for extracting output from SPSS. You will insert your output into the assessment answer template as indicated.
  • Scores, Type I and Type II Error, Null Hypothesis Testing Answer Template [DOCX].
    • Use this template to complete your assessment.

     

Preparation

This assessment has three parts, each of which is described below. Submit all three parts as Word documents.

Note:All the course documents you will need for the assessment are linked in the Resources section.

Read Assessment 1 Context to learn about the concepts used in this assessment.

This assessment uses the grades.savfile, found in the Resources for this assessment.

The fictional data in the grades.savfile represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).

There are 21 variables in grades.sav. To prepare for this assessment, complete the following:

  • Open your grades.savfile and navigate to the “Variable View” tab.
  • Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.

Part 1: Histograms and Descriptive Statistics

Your first IBM SSPS assessment includes two sections:

  • Create two histograms and provide interpretations.
  • Calculate measures of central tendency and dispersion and provide interpretations.
Key Details and Instructions
  • Submit your assessment as an attached Word document.
  • Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.
  • Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See the Copy/Export Output Instructionsin the Resources for instructions on how to do this.)
  • Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.
  • For additional help in completing this assessment, refer to IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics, linked in the Resources.
Section 1: Histograms and Visual Interpretation

Section 1 will include one histogram of “total” scores for all the males in the data set, and one histogram of “total” scores for all the females in the data set.

Create two histograms using the totaland gendervariables in your grades.savdata set:

  • A histogram for male students.
  • A histogram for female students.

Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:

  • Skew.
  • Kurtosis.
  • Outlier.
  • Symmetry.
  • Modality.

Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.

Section 2: Calculate and Interpret Measures of Central Tendency and Dispersion

Using the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness,and kurtosisfor the following variables:

  • id.
  • gender.
  • ethnicity.
  • gpa.
  • quiz3.
  • total.

Below the Descriptives table, complete the following:

  • Indicate which variable or variables are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.
  • Next, indicate which variable or variables are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.
  • Specify any variables that are acceptable but not excellent.
  • Specify any variables that are unacceptable. Explain your decisions.
  • For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).

Part 2: Data Screening

For this part of the assessment, respond to the following questions:

What are the goals of data screening? How can you identify and remedy the following?

  • Errors in data entry.
  • Outliers.
  • Missing data.

Part 3: Scores, Type I and II Error, Null Hypothesis Testing

This IBM SPSS assessment includes three sections:

  • Generate scores for a variable in grades.savand report/interpret them.
  • Analyze cases of Type I and Type II error.
  • Analyze cases to either reject or not reject a null hypothesis.

The format of this assessment should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document). See the Copy/Export Output Instructions for instructions on how to do this.

Download the Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:

  • Section 1: Scores in SPSS.
  • Section 2: Case Studies of Type I and Type II Error.
  • Section 3: Case Studies of Null Hypothesis Testing.

 

Do you need a similar assignment done for you from scratch? We have qualified writers to help you. We assure you an A+ quality paper that is free from plagiarism. Order now for an Amazing Discount!
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The post Quantative Design And Analysis Masters Course Assessment : Histograms And Descriptive Statistics appeared first on Nursing Writers Hub.

 

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For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several Capella course files to complete this assessment.

A solid understanding of descriptive statistics is foundational to grasping the concepts presented in inferential statistics. This assessment measures your understanding of key elements of descriptive statistics.

SHOW LESS

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

  • Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
    • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
    • Analyze the relevant data from the computation, interpretation, and application of z-scores.
    • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
  • Competency 2: Analyze the decision-making process of data analysis.
    • Analyze meaningful versus meaningless variables reported in descriptive statistics.
    • Apply the logic of null hypothesis testing to cases.
  • Competency 4: Interpret the results of statistical analyses.
    • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
    • Interpret descriptive statistics for meaningful variables.
  • Competency 5: Apply a statistical program’s procedure to data.
    • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
    • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
  • Competency 7: Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
    • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.

     

Read Assessment 1 Context [DOC] for important information on the following topics:

SHOW LESS

  • The standard normal distribution and scores.
  • Hypothesis testing.
  • Null and alternative hypotheses.
  • Type I and Type II errors.
  • Probability values and the null hypothesis.

 

APA Resources

Because this is a psychology course, you need to format this assessment according to APA guidelines. Additional resources about APA can be found in the Research Resources in the courseroom navigation menu. Use the resources to guide your work.

  • American Psychological Association. (2010). Publication manual of the American Psychological Association(6th ed.). Washington, DC: Author.
    • This resource is available from the Capella University Bookstore.

Required Resources

The following resources are required to complete the assessment.

SPSS Software

The following statistical analysis software is required to complete your assessments in this course:

  • IBM SPSS Statistics Standard or Premium GradPack (recent version for Windows or Mac).
    • As a Capella learner, you have access to the more robust IBM SPSS Statistics PremiumGradPack arranged at an academic discount through a contracted vendor.
    • Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners.
Data Set and Software Procedure
  • Data Set Instructions [DOCX].
    • These instructions explain how to access the data needed for this assessment.
  • grades.sav.
    • This file contains the data set used with SPSS to complete the assessment.
Assessment Template and Output Instructions
  • Copy/Export Output Instructions [DOCX].
    • This document provides instructions for extracting output from SPSS. You will insert your output into the assessment answer template as indicated.
  • Scores, Type I and Type II Error, Null Hypothesis Testing Answer Template [DOCX].
    • Use this template to complete your assessment.

     

Preparation

This assessment has three parts, each of which is described below. Submit all three parts as Word documents.

Note:All the course documents you will need for the assessment are linked in the Resources section.

Read Assessment 1 Context to learn about the concepts used in this assessment.

This assessment uses the grades.savfile, found in the Resources for this assessment.

The fictional data in the grades.savfile represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).

There are 21 variables in grades.sav. To prepare for this assessment, complete the following:

  • Open your grades.savfile and navigate to the “Variable View” tab.
  • Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.

Part 1: Histograms and Descriptive Statistics

Your first IBM SSPS assessment includes two sections:

  • Create two histograms and provide interpretations.
  • Calculate measures of central tendency and dispersion and provide interpretations.
Key Details and Instructions
  • Submit your assessment as an attached Word document.
  • Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.
  • Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See the Copy/Export Output Instructionsin the Resources for instructions on how to do this.)
  • Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.
  • For additional help in completing this assessment, refer to IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics, linked in the Resources.
Section 1: Histograms and Visual Interpretation

Section 1 will include one histogram of “total” scores for all the males in the data set, and one histogram of “total” scores for all the females in the data set.

Create two histograms using the totaland gendervariables in your grades.savdata set:

  • A histogram for male students.
  • A histogram for female students.

Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:

  • Skew.
  • Kurtosis.
  • Outlier.
  • Symmetry.
  • Modality.

Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.

Section 2: Calculate and Interpret Measures of Central Tendency and Dispersion

Using the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness,and kurtosisfor the following variables:

  • id.
  • gender.
  • ethnicity.
  • gpa.
  • quiz3.
  • total.

Below the Descriptives table, complete the following:

  • Indicate which variable or variables are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.
  • Next, indicate which variable or variables are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.
  • Specify any variables that are acceptable but not excellent.
  • Specify any variables that are unacceptable. Explain your decisions.
  • For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).

Part 2: Data Screening

For this part of the assessment, respond to the following questions:

What are the goals of data screening? How can you identify and remedy the following?

  • Errors in data entry.
  • Outliers.
  • Missing data.

Part 3: Scores, Type I and II Error, Null Hypothesis Testing

This IBM SPSS assessment includes three sections:

  • Generate scores for a variable in grades.savand report/interpret them.
  • Analyze cases of Type I and Type II error.
  • Analyze cases to either reject or not reject a null hypothesis.

The format of this assessment should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document). See the Copy/Export Output Instructions for instructions on how to do this.

Download the Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:

  • Section 1: Scores in SPSS.
  • Section 2: Case Studies of Type I and Type II Error.
  • Section 3: Case Studies of Null Hypothesis Testing.

 

Do you need a similar assignment done for you from scratch? We have qualified writers to help you. We assure you an A+ quality paper that is free from plagiarism. Order now for an Amazing Discount!
Use Discount Code “Newclient” for a 15% Discount!

NB: We do not resell papers. Upon ordering, we do an original paper exclusively for you.


The post Quantative Design And Analysis Masters Course Assessment : Histograms And Descriptive Statistics appeared first on Nursing Writers Hub.

 

"Are you looking for this answer? We can Help click Order Now"

For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several Capella course files to complete this assessment.

A solid understanding of descriptive statistics is foundational to grasping the concepts presented in inferential statistics. This assessment measures your understanding of key elements of descriptive statistics.

SHOW LESS

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

  • Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
    • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
    • Analyze the relevant data from the computation, interpretation, and application of z-scores.
    • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
  • Competency 2: Analyze the decision-making process of data analysis.
    • Analyze meaningful versus meaningless variables reported in descriptive statistics.
    • Apply the logic of null hypothesis testing to cases.
  • Competency 4: Interpret the results of statistical analyses.
    • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
    • Interpret descriptive statistics for meaningful variables.
  • Competency 5: Apply a statistical program’s procedure to data.
    • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
    • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
  • Competency 7: Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
    • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.

     

Read Assessment 1 Context [DOC] for important information on the following topics:

SHOW LESS

  • The standard normal distribution and scores.
  • Hypothesis testing.
  • Null and alternative hypotheses.
  • Type I and Type II errors.
  • Probability values and the null hypothesis.

 

APA Resources

Because this is a psychology course, you need to format this assessment according to APA guidelines. Additional resources about APA can be found in the Research Resources in the courseroom navigation menu. Use the resources to guide your work.

  • American Psychological Association. (2010). Publication manual of the American Psychological Association(6th ed.). Washington, DC: Author.
    • This resource is available from the Capella University Bookstore.

Required Resources

The following resources are required to complete the assessment.

SPSS Software

The following statistical analysis software is required to complete your assessments in this course:

  • IBM SPSS Statistics Standard or Premium GradPack (recent version for Windows or Mac).
    • As a Capella learner, you have access to the more robust IBM SPSS Statistics PremiumGradPack arranged at an academic discount through a contracted vendor.
    • Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners.
Data Set and Software Procedure
  • Data Set Instructions [DOCX].
    • These instructions explain how to access the data needed for this assessment.
  • grades.sav.
    • This file contains the data set used with SPSS to complete the assessment.
Assessment Template and Output Instructions
  • Copy/Export Output Instructions [DOCX].
    • This document provides instructions for extracting output from SPSS. You will insert your output into the assessment answer template as indicated.
  • Scores, Type I and Type II Error, Null Hypothesis Testing Answer Template [DOCX].
    • Use this template to complete your assessment.

     

Preparation

This assessment has three parts, each of which is described below. Submit all three parts as Word documents.

Note:All the course documents you will need for the assessment are linked in the Resources section.

Read Assessment 1 Context to learn about the concepts used in this assessment.

This assessment uses the grades.savfile, found in the Resources for this assessment.

The fictional data in the grades.savfile represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).

There are 21 variables in grades.sav. To prepare for this assessment, complete the following:

  • Open your grades.savfile and navigate to the “Variable View” tab.
  • Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.

Part 1: Histograms and Descriptive Statistics

Your first IBM SSPS assessment includes two sections:

  • Create two histograms and provide interpretations.
  • Calculate measures of central tendency and dispersion and provide interpretations.
Key Details and Instructions
  • Submit your assessment as an attached Word document.
  • Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.
  • Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See the Copy/Export Output Instructionsin the Resources for instructions on how to do this.)
  • Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.
  • For additional help in completing this assessment, refer to IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics, linked in the Resources.
Section 1: Histograms and Visual Interpretation

Section 1 will include one histogram of “total” scores for all the males in the data set, and one histogram of “total” scores for all the females in the data set.

Create two histograms using the totaland gendervariables in your grades.savdata set:

  • A histogram for male students.
  • A histogram for female students.

Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:

  • Skew.
  • Kurtosis.
  • Outlier.
  • Symmetry.
  • Modality.

Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.

Section 2: Calculate and Interpret Measures of Central Tendency and Dispersion

Using the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness,and kurtosisfor the following variables:

  • id.
  • gender.
  • ethnicity.
  • gpa.
  • quiz3.
  • total.

Below the Descriptives table, complete the following:

  • Indicate which variable or variables are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.
  • Next, indicate which variable or variables are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.
  • Specify any variables that are acceptable but not excellent.
  • Specify any variables that are unacceptable. Explain your decisions.
  • For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).

Part 2: Data Screening

For this part of the assessment, respond to the following questions:

What are the goals of data screening? How can you identify and remedy the following?

  • Errors in data entry.
  • Outliers.
  • Missing data.

Part 3: Scores, Type I and II Error, Null Hypothesis Testing

This IBM SPSS assessment includes three sections:

  • Generate scores for a variable in grades.savand report/interpret them.
  • Analyze cases of Type I and Type II error.
  • Analyze cases to either reject or not reject a null hypothesis.

The format of this assessment should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document). See the Copy/Export Output Instructions for instructions on how to do this.

Download the Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:

  • Section 1: Scores in SPSS.
  • Section 2: Case Studies of Type I and Type II Error.
  • Section 3: Case Studies of Null Hypothesis Testing.

 

Do you need a similar assignment done for you from scratch? We have qualified writers to help you. We assure you an A+ quality paper that is free from plagiarism. Order now for an Amazing Discount!
Use Discount Code “Newclient” for a 15% Discount!

NB: We do not resell papers. Upon ordering, we do an original paper exclusively for you.


The post Quantative Design And Analysis Masters Course Assessment : Histograms And Descriptive Statistics appeared first on Nursing Writers Hub.

 

"Are you looking for this answer? We can Help click Order Now"

For this three-part assessment, you will create and interpret histograms and compute descriptive statistics for given variables; analyze the goals of data screening; and generate scores for variables, analyze types of error, and analyze cases to either reject or not reject a null hypothesis. You will use SPSS software and several Capella course files to complete this assessment.

A solid understanding of descriptive statistics is foundational to grasping the concepts presented in inferential statistics. This assessment measures your understanding of key elements of descriptive statistics.

SHOW LESS

By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:

  • Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
    • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
    • Analyze the relevant data from the computation, interpretation, and application of z-scores.
    • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
  • Competency 2: Analyze the decision-making process of data analysis.
    • Analyze meaningful versus meaningless variables reported in descriptive statistics.
    • Apply the logic of null hypothesis testing to cases.
  • Competency 4: Interpret the results of statistical analyses.
    • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
    • Interpret descriptive statistics for meaningful variables.
  • Competency 5: Apply a statistical program’s procedure to data.
    • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
    • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
  • Competency 7: Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
    • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.

     

  • Competency 1: Analyze the computation, application, strengths, and limitations of various statistical tests.
    • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
    • Analyze the relevant data from the computation, interpretation, and application of z-scores.
    • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
    • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
    • Analyze the relevant data from the computation, interpretation, and application of z-scores.
    • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
  • Analyze the strengths and limitations of examining a distribution of scores with a histogram.
  • Analyze the relevant data from the computation, interpretation, and application of z-scores.
  • z
  • Analyze real-world application of Type I and Type II errors and the research decisions that influence the relative risk of each.
  • Competency 2: Analyze the decision-making process of data analysis.
    • Analyze meaningful versus meaningless variables reported in descriptive statistics.
    • Apply the logic of null hypothesis testing to cases.
    • Analyze meaningful versus meaningless variables reported in descriptive statistics.
    • Apply the logic of null hypothesis testing to cases.
  • Analyze meaningful versus meaningless variables reported in descriptive statistics.
  • Apply the logic of null hypothesis testing to cases.
  • Competency 4: Interpret the results of statistical analyses.
    • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
    • Interpret descriptive statistics for meaningful variables.
    • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
    • Interpret descriptive statistics for meaningful variables.
  • Interpret histogram results, including concepts of skew, kurtosis, outliers, symmetry, and modality.
  • Interpret descriptive statistics for meaningful variables.
  • Competency 5: Apply a statistical program’s procedure to data.
    • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
    • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
    • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
    • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
  • Apply the appropriate SPSS procedures for creating histograms to generate relevant output.
  • Apply the appropriate SPSS procedure for generating descriptive statistics to generate relevant output.
  • Apply the appropriate SPSS procedures for creating z-scores and descriptive statistics to generate relevant output.
  • z
  • Competency 7: Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
    • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.

     

    • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
  • Communicate in a manner that is scholarly, professional, and consistent with expectations for members of the identified field of study.
  •  

    Read Assessment 1 Context [DOC] for important information on the following topics:

    SHOW LESS

    • The standard normal distribution and scores.
    • Hypothesis testing.
    • Null and alternative hypotheses.
    • Type I and Type II errors.
    • Probability values and the null hypothesis.
  • The standard normal distribution and scores.
  • Hypothesis testing.
  • Null and alternative hypotheses.
  • Type I and Type II errors.
  • Probability values and the null hypothesis.
  •  

    APA Resources

    Because this is a psychology course, you need to format this assessment according to APA guidelines. Additional resources about APA can be found in the Research Resources in the courseroom navigation menu. Use the resources to guide your work.

    • American Psychological Association. (2010). Publication manual of the American Psychological Association(6th ed.). Washington, DC: Author.
      • This resource is available from the Capella University Bookstore.
  • American Psychological Association. (2010). Publication manual of the American Psychological Association(6th ed.). Washington, DC: Author.
    • This resource is available from the Capella University Bookstore.
  • Publication manual of the American Psychological Association
    • This resource is available from the Capella University Bookstore.
  • This resource is available from the Capella University Bookstore.
  • Required Resources

    The following resources are required to complete the assessment.

    SPSS Software

    The following statistical analysis software is required to complete your assessments in this course:

    • IBM SPSS Statistics Standard or Premium GradPack (recent version for Windows or Mac).
      • As a Capella learner, you have access to the more robust IBM SPSS Statistics PremiumGradPack arranged at an academic discount through a contracted vendor.
      • Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners.
  • IBM SPSS Statistics Standard or Premium GradPack (recent version for Windows or Mac).
    • As a Capella learner, you have access to the more robust IBM SPSS Statistics PremiumGradPack arranged at an academic discount through a contracted vendor.
    • Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners.
    • As a Capella learner, you have access to the more robust IBM SPSS Statistics PremiumGradPack arranged at an academic discount through a contracted vendor.
    • Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners.
  • As a Capella learner, you have access to the more robust IBM SPSS Statistics PremiumGradPack arranged at an academic discount through a contracted vendor.
  • Premium
  • Please refer to the Statistical Software page on Campus for general information on SPSS software, including the most recent version made available to Capella learners.
  • Data Set and Software Procedure
    • Data Set Instructions [DOCX].
      • These instructions explain how to access the data needed for this assessment.
    • grades.sav.
      • This file contains the data set used with SPSS to complete the assessment.
  • Data Set Instructions [DOCX].
    • These instructions explain how to access the data needed for this assessment.
    • These instructions explain how to access the data needed for this assessment.
  • These instructions explain how to access the data needed for this assessment.
  • grades.sav.
    • This file contains the data set used with SPSS to complete the assessment.
    • This file contains the data set used with SPSS to complete the assessment.
  • This file contains the data set used with SPSS to complete the assessment.
  • Assessment Template and Output Instructions
    • Copy/Export Output Instructions [DOCX].
      • This document provides instructions for extracting output from SPSS. You will insert your output into the assessment answer template as indicated.
    • Scores, Type I and Type II Error, Null Hypothesis Testing Answer Template [DOCX].
      • Use this template to complete your assessment.

       

  • Copy/Export Output Instructions [DOCX].
    • This document provides instructions for extracting output from SPSS. You will insert your output into the assessment answer template as indicated.
    • This document provides instructions for extracting output from SPSS. You will insert your output into the assessment answer template as indicated.
  • This document provides instructions for extracting output from SPSS. You will insert your output into the assessment answer template as indicated.
  • Scores, Type I and Type II Error, Null Hypothesis Testing Answer Template [DOCX].
    • Use this template to complete your assessment.

     

    • Use this template to complete your assessment.
  • Use this template to complete your assessment.
  •  

    Preparation

    This assessment has three parts, each of which is described below. Submit all three parts as Word documents.

    Note:All the course documents you will need for the assessment are linked in the Resources section.

    Note:

    Read Assessment 1 Context to learn about the concepts used in this assessment.

    Assessment 1 Context

    This assessment uses the grades.savfile, found in the Resources for this assessment.

    grades.sav

    The fictional data in the grades.savfile represent a teacher’s recording of student demographics and performance on quizzes and a final exam across three sections of the course. Each section consists of about 35 students (N = 105).

    grades.sav

    There are 21 variables in grades.sav. To prepare for this assessment, complete the following:

    grades.sav
    • Open your grades.savfile and navigate to the “Variable View” tab.
    • Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.
  • Open your grades.savfile and navigate to the “Variable View” tab.
  • grades.sav
  • Read the Data Set Instructions, and make sure you have the correct Values and Scales of Measurement assigned.
  • Data Set Instructions

    Part 1: Histograms and Descriptive Statistics

    Your first IBM SSPS assessment includes two sections:

    • Create two histograms and provide interpretations.
    • Calculate measures of central tendency and dispersion and provide interpretations.
  • Create two histograms and provide interpretations.
  • Calculate measures of central tendency and dispersion and provide interpretations.
  • Key Details and Instructions
    • Submit your assessment as an attached Word document.
    • Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.
    • Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See the Copy/Export Output Instructionsin the Resources for instructions on how to do this.)
    • Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.
    • For additional help in completing this assessment, refer to IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics, linked in the Resources.
  • Submit your assessment as an attached Word document.
  • Begin your assessment by creating a properly formatted APA title page. Include a reference list at the end of the document if necessary. On page 2, begin Section 1.
  • Organize the narrative report with your SPSS output charts and tables integrated along with your responses to the specific requirements listed for that assessment. (See the Copy/Export Output Instructionsin the Resources for instructions on how to do this.)
  • Copy/Export Output Instructions
  • Label all tables and graphs in a manner consistent with APA style and formatting guidelines. Citations, if needed, should be included in the text as well as a reference section at the end of the report.
  • For additional help in completing this assessment, refer to IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics, linked in the Resources.
  • IBM SPSS Step-By-Step Instructions: Histograms and Descriptive Statistics
    Section 1: Histograms and Visual Interpretation

    Section 1 will include one histogram of “total” scores for all the males in the data set, and one histogram of “total” scores for all the females in the data set.

    Create two histograms using the totaland gendervariables in your grades.savdata set:

    total gender grades.sav
    • A histogram for male students.
    • A histogram for female students.
  • A histogram for male students.
  • A histogram for female students.
  • Below the histograms, provide an interpretation based on your visual inspection. Correctly use all of the following terms in your discussion:

    • Skew.
    • Kurtosis.
    • Outlier.
    • Symmetry.
    • Modality.
  • Skew.
  • Kurtosis.
  • Outlier.
  • Symmetry.
  • Modality.
  • Comment on any differences between males and females regarding their total scores. Analyze the strengths and limitations of visually interpreting histograms.

    Section 2: Calculate and Interpret Measures of Central Tendency and Dispersion

    Using the grades.savfile, compute descriptive statistics, including mean, standard deviation, skewness,and kurtosisfor the following variables:

    grades.sav mean, standard deviation, skewness, kurtosis
    • id.
    • gender.
    • ethnicity.
    • gpa.
    • quiz3.
    • total.
  • id.
  • gender.
  • ethnicity.
  • gpa.
  • quiz3.
  • total.
  • Below the Descriptives table, complete the following:

    • Indicate which variable or variables are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.
    • Next, indicate which variable or variables are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.
    • Specify any variables that are acceptable but not excellent.
    • Specify any variables that are unacceptable. Explain your decisions.
    • For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).
  • Indicate which variable or variables are meaningless to interpret in terms of mean, standard deviation, skewness, and kurtosis. Justify your decision.
  • Next, indicate which variable or variables are meaningful to interpret. Justify your decision. For meaningful variables, specify any variables that are in the ideal range for both skewness and kurtosis.
  • Specify any variables that are acceptable but not excellent.
  • Specify any variables that are unacceptable. Explain your decisions.
  • For all meaningful variables, report and interpret the descriptive statistics (mean, standard deviation, skewness, and kurtosis).
  • Part 2: Data Screening

    For this part of the assessment, respond to the following questions:

    What are the goals of data screening? How can you identify and remedy the following?

    • Errors in data entry.
    • Outliers.
    • Missing data.
  • Errors in data entry.
  • Outliers.
  • Missing data.
  • Part 3: Scores, Type I and II Error, Null Hypothesis Testing

    This IBM SPSS assessment includes three sections:

    • Generate scores for a variable in grades.savand report/interpret them.
    • Analyze cases of Type I and Type II error.
    • Analyze cases to either reject or not reject a null hypothesis.
  • Generate scores for a variable in grades.savand report/interpret them.
  • grades.sav
  • Analyze cases of Type I and Type II error.
  • Analyze cases to either reject or not reject a null hypothesis.
  • The format of this assessment should be narrative with supporting statistical output (table and graphs) integrated into the narrative in the appropriate place (not all at the end of the document). See the Copy/Export Output Instructions for instructions on how to do this.

    Copy/Export Output Instructions

    Download the Scores, Type I and Type II Error, Null Hypothesis Testing Answer Templatefrom the Required Resources, and use the template to complete the following sections:

    Scores, Type I and Type II Error, Null Hypothesis Testing Answer Template
    • Section 1: Scores in SPSS.
    • Section 2: Case Studies of Type I and Type II Error.
    • Section 3: Case Studies of Null Hypothesis Testing.
  • Section 1: Scores in SPSS.
  • Section 2: Case Studies of Type I and Type II Error.
  • Section 3: Case Studies of Null Hypothesis Testing.
  •  

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