[Solved] Mathematics – Statistics Statistic Worksheet Assignment

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**

– 1
– 2
– 3