Mathematics - Statistics Statistic Worksheet Assignment
Help with understanding statistics
10 months ago 25
cf_Week_07_Assignment_Data_24.jasp
Overview_24.docx
cf_PSYC3700_Assignment_7_WS_24.docx
cf_Week_07_Assignment_Data_24.jasp
manifest.json
{ "jaspArchiveVersion" : "5", "jaspVersion" : "0.95" }
analyses.json
{ "analyses" : [], "meta" : null }
index.html
Results
internal.sqlite
Overview_24.docx
Overview
For this week’s assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.
Preparation
Before you begin this assignment, complete the following:
· Download the Week 7 Assignment Worksheet [DOCX].
· Download the Week_7_Assignment_Data.csv file.
Instructions
Complete and submit the Week 7 Assignment worksheet.
Competencies Measured
By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:
· Competency 1: Communicate research findings using data visualizations.
· Check the assumptions of Pearson’s r using graphs.
· Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.
· Interpret the statistical significance of a hypothesis test.
· Competency 3: Conduct statistical analyses to address research questions in the social sciences.
· Use JASP to construct a scatterplot and histograms.
· Use JASP to compute a correlation coefficient.
· Competency 6: Explain why measurement of research variables must be reliable and valid.
· Discuss how your correlation can be used to support a specific type of reliability or validity.
cf_PSYC3700_Assignment_7_WS_24.docx
Remove or Replace: Header Is Not Doc Title
Week 7 Assignment
For this assignment you will use the Week_07_Assignment_Data.csv file, which can be found on the Week 7 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking the first exam in the course, students completed two measures of text anxiety: Old_Test_Anxiety and New_Test_Anxiety .
Old_Test_Anxiety is an existing measure of test anxiety. It’s scores are known to be highly reliable and valid. A group of researchers are concerned that some of the questions on the old survey may be getting outdated, so they’ve developed a new survey to measure test anxiety: New_Test_Anxiety . The researchers have asked a sample of students in one introductory statistics course to take both the old and new surveys.
The dataset includes the following variables:
· Student_ID : A unique nominal-level identification number assigned to each student
· Primary_Degree: Whether the student’s primary degree is a Bachelor of Arts (BA), Bachelor of Science in Nursing (BSN), or Bachelor of Science (BS)
· GPA: The student’s grade point average at the beginning of the term
· Old_Test_Anxiety: The learner’s score on an existing measure of test anxiety, completed right before taking the first test in the course
· New_Test_Anxiety: The learner’s score on a newly developed measure of test anxiety, completed right before taking the first test in the course
Criteria:
· Use JASP to construct a scatterplot and histograms
· Interpret the relationship between two variables from a scatterplot
· Use JASP to compute a correlation coefficient
· Interpret the statistical significance of a hypothesis test
· Discuss how your correlation can be used to support a specific type of reliability or validity
|
In JASP, construct a scatterplot and histograms for the Old_Test_Anxiety and New_Test_Anxiety variables. |
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[Include screenshots of your scatterplot and histograms here] |
|
Explain why it is appropriate to use Pearson’s r as a measure of the correlation between the Old_Test_Anxiety and New_Test_Anxiety variables. Refer to the plots you made in the previous question. |
|
|
|
In JASP, compute Pearson’s r. In addition to r and the p value, add the sample size and 95% confidence interval to your output. |
|
[Include a screenshot of your JASP output here] |
|
Is there evidence of a relationship between Old_Test_Anxiety and New_Test_Anxiety in the population? Explain how you determined this. |
|
|
|
Explain how the correlation you computed could be used to support a specific type of reliability or validity. Be sure to clearly state which type of reliability or validity is supported. And, explain how it is supported by your correlation. |
|
|
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image1.emf
cf_Week_07_Assignment_Data_24.jasp
manifest.json
{ "jaspArchiveVersion" : "5", "jaspVersion" : "0.95" }
analyses.json
{ "analyses" : [], "meta" : null }
index.html
Results
internal.sqlite
Overview_24.docx
Overview
For this week’s assignment you will construct graphs, compute a correlation coefficient, and explain how the correlation can be used to support a specific type of reliability or validity.
Preparation
Before you begin this assignment, complete the following:
· Download the Week 7 Assignment Worksheet [DOCX].
· Download the Week_7_Assignment_Data.csv file.
Instructions
Complete and submit the Week 7 Assignment worksheet.
Competencies Measured
By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and rubric criteria:
· Competency 1: Communicate research findings using data visualizations.
· Check the assumptions of Pearson’s r using graphs.
· Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.
· Interpret the statistical significance of a hypothesis test.
· Competency 3: Conduct statistical analyses to address research questions in the social sciences.
· Use JASP to construct a scatterplot and histograms.
· Use JASP to compute a correlation coefficient.
· Competency 6: Explain why measurement of research variables must be reliable and valid.
· Discuss how your correlation can be used to support a specific type of reliability or validity.
cf_PSYC3700_Assignment_7_WS_24.docx
Remove or Replace: Header Is Not Doc Title
Week 7 Assignment
For this assignment you will use the Week_07_Assignment_Data.csv file, which can be found on the Week 7 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students enrolled in one large introductory statistics course. Prior to taking the first exam in the course, students completed two measures of text anxiety: Old_Test_Anxiety and New_Test_Anxiety .
Old_Test_Anxiety is an existing measure of test anxiety. It’s scores are known to be highly reliable and valid. A group of researchers are concerned that some of the questions on the old survey may be getting outdated, so they’ve developed a new survey to measure test anxiety: New_Test_Anxiety . The researchers have asked a sample of students in one introductory statistics course to take both the old and new surveys.
The dataset includes the following variables:
· Student_ID : A unique nominal-level identification number assigned to each student
· Primary_Degree: Whether the student’s primary degree is a Bachelor of Arts (BA), Bachelor of Science in Nursing (BSN), or Bachelor of Science (BS)
· GPA: The student’s grade point average at the beginning of the term
· Old_Test_Anxiety: The learner’s score on an existing measure of test anxiety, completed right before taking the first test in the course
· New_Test_Anxiety: The learner’s score on a newly developed measure of test anxiety, completed right before taking the first test in the course
Criteria:
· Use JASP to construct a scatterplot and histograms
· Interpret the relationship between two variables from a scatterplot
· Use JASP to compute a correlation coefficient
· Interpret the statistical significance of a hypothesis test
· Discuss how your correlation can be used to support a specific type of reliability or validity
|
In JASP, construct a scatterplot and histograms for the Old_Test_Anxiety and New_Test_Anxiety variables. |
|
[Include screenshots of your scatterplot and histograms here] |
|
Explain why it is appropriate to use Pearson’s r as a measure of the correlation between the Old_Test_Anxiety and New_Test_Anxiety variables. Refer to the plots you made in the previous question. |
|
|
|
In JASP, compute Pearson’s r. In addition to r and the p value, add the sample size and 95% confidence interval to your output. |
|
[Include a screenshot of your JASP output here] |
|
Is there evidence of a relationship between Old_Test_Anxiety and New_Test_Anxiety in the population? Explain how you determined this. |
|
|
|
Explain how the correlation you computed could be used to support a specific type of reliability or validity. Be sure to clearly state which type of reliability or validity is supported. And, explain how it is supported by your correlation. |
|
|
1
1