Assignment Prompt & Instructions
Help with understanding statistics
– ## 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]](https://courseroom.capella.edu/courses/49502/files/8834006/download).
· Download the
[Week_7_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834128/download) 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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables.** |
| _[Include screenshots of your scatterplot and histograms here]_ |
| **Explain why it is appropriate to use Pearson’s**<br>**_r_ as a measure of the correlation between the**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables. Refer to the plots you made in the previous question.** |
| |
| **In JASP, compute Pearson’s**<br>**_r_. In addition to**<br>**_r_ and the**<br>**_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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ in the population?**<br>**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
**image1.emf**
**## 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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables.** |
| _[Include screenshots of your scatterplot and histograms here]_ |
| **Explain why it is appropriate to use Pearson’s**<br>**_r_ as a measure of the correlation between the**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables. Refer to the plots you made in the previous question.** |
| |
| **In JASP, compute Pearson’s**<br>**_r_. In addition to**<br>**_r_ and the**<br>**_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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ in the population?**<br>**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
**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]](https://courseroom.capella.edu/courses/49502/files/8834006/download).
· Download the
[Week_7_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834128/download) 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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables.** |
| _[Include screenshots of your scatterplot and histograms here]_ |
| **Explain why it is appropriate to use Pearson’s**<br>**_r_ as a measure of the correlation between the**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables. Refer to the plots you made in the previous question.** |
| |
| **In JASP, compute Pearson’s**<br>**_r_. In addition to**<br>**_r_ and the**<br>**_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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ in the population?**<br>**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
**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]](https://courseroom.capella.edu/courses/49502/files/8834006/download).
· Download the
[Week_7_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834128/download) 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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables.** |
| _[Include screenshots of your scatterplot and histograms here]_ |
| **Explain why it is appropriate to use Pearson’s**<br>**_r_ as a measure of the correlation between the**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ variables. Refer to the plots you made in the previous question.** |
| |
| **In JASP, compute Pearson’s**<br>**_r_. In addition to**<br>**_r_ and the**<br>**_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**<br>**_Old_Test_Anxiety_ and**<br>**_New_Test_Anxiety_ in the population?**<br>**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
**image1.emf**
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