My Blog

Tag: Mathematics

  • [Solved] SR

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    \ 20250913_024910.jpg](https://www.sweetstudy.com/files/20250913-024910-jpg "20250913_024910.jpg") \ 20250913_025027.jpg](https://www.sweetstudy.com/files/20250913-025027-jpg "20250913_025027.jpg")

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    \
    20250913_024910.jpg](https://www.sweetstudy.com/files/20250913-024910-jpg "20250913_024910.jpg")
    \
    20250913_025027.jpg](https://www.sweetstudy.com/files/20250913-025027-jpg "20250913_025027.jpg")

  • [Solved] M PR

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    \ 20250911_011552.jpg](https://www.sweetstudy.com/files/20250911-011552-jpg "20250911_011552.jpg") \ 20250911_012614.jpg](https://www.sweetstudy.com/files/20250911-012614-jpg "20250911_012614.jpg") \ 20250911_012807.jpg](https://www.sweetstudy.com/files/20250911-012807-jpg "20250911_012807.jpg…

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    \
    20250911_011552.jpg](https://www.sweetstudy.com/files/20250911-011552-jpg "20250911_011552.jpg")
    \
    20250911_012614.jpg](https://www.sweetstudy.com/files/20250911-012614-jpg "20250911_012614.jpg")
    \
    20250911_012807.jpg](https://www.sweetstudy.com/files/20250911-012807-jpg "20250911_012807.jpg")
    \
    20250911_013352.jpg](https://www.sweetstudy.com/files/20250911-013352-jpg "20250911_013352.jpg")
    \
    20250911_013158.jpg](https://www.sweetstudy.com/files/20250911-013158-jpg "20250911_013158.jpg")

  • [Solved] ANOVA

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    I need assistance in understanding the statistical formula ANOVA – ## Overview_10_25.docx – ## cf_PSYC3700_Assignment_10_Worksheet.docx **## Overview_10_25.docx** **Overview** For this week’s assignment you will read a published research study that uses some form of an analysis of variance (…

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    I need assistance in understanding the statistical formula ANOVA

    – ## Overview_10_25.docx

    – ## cf_PSYC3700_Assignment_10_Worksheet.docx

    **## Overview_10_25.docx**

    **Overview**

    For this week’s assignment you will read a published research study that uses some form of an analysis of variance (ANOVA) and you will examine a graduate program or job posting in the social sciences that uses statistics.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 10 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8834049/download).

    · For Part 1, locate one of the articles listed in the assignment in the
    [Capella University LibraryLinks to an external site.](https://lat.strategiced.com/redirect?linkid=1651). See
    [Finding Articles Using the Journals Tab [Video]Links to an external site.](https://lat.strategiced.com/redirect?linkid=7800) for additional instructions.

    · For Part 2, locate a graduate program or job posting in the social sciences that uses statistics. This should be different from the program or career you used in the Week 1 Assignment.

    **Instructions**

    Complete and submit the Week 10 Assignment worksheet.

    **Competencies Measured**

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

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Identify the descriptive and inferential analyses conducted in the article.

    · Identify the type of analysis of variance conducted in the study.

    · Identify the variables in the analysis of variance conducted in the study.

    · Summarize the results of an analysis of variance.

    · Competency 4: Determine the generalizability of specific findings based on parameters of the research design.

    · Identify the sample used in the study and the population to which the results of the study can be generalized.

    · Competency 5: Evaluate academic options and careers in the social sciences that use statistics.

    · Describe a graduate program or career in the social sciences that uses statistics.

    · Explain why you think you would or would not be interested in pursuing the program or career you selected.

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    **## Overview_10_25.docx**

    **Overview**

    For this week’s assignment you will read a published research study that uses some form of an analysis of variance (ANOVA) and you will examine a graduate program or job posting in the social sciences that uses statistics.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 10 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8834049/download).

    · For Part 1, locate one of the articles listed in the assignment in the
    [Capella University LibraryLinks to an external site.](https://lat.strategiced.com/redirect?linkid=1651). See
    [Finding Articles Using the Journals Tab [Video]Links to an external site.](https://lat.strategiced.com/redirect?linkid=7800) for additional instructions.

    · For Part 2, locate a graduate program or job posting in the social sciences that uses statistics. This should be different from the program or career you used in the Week 1 Assignment.

    **Instructions**

    Complete and submit the Week 10 Assignment worksheet.

    **Competencies Measured**

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

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Identify the descriptive and inferential analyses conducted in the article.

    · Identify the type of analysis of variance conducted in the study.

    · Identify the variables in the analysis of variance conducted in the study.

    · Summarize the results of an analysis of variance.

    · Competency 4: Determine the generalizability of specific findings based on parameters of the research design.

    · Identify the sample used in the study and the population to which the results of the study can be generalized.

    · Competency 5: Evaluate academic options and careers in the social sciences that use statistics.

    · Describe a graduate program or career in the social sciences that uses statistics.

    · Explain why you think you would or would not be interested in pursuing the program or career you selected.

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    **## Overview_10_25.docx**

    **Overview**

    For this week’s assignment you will read a published research study that uses some form of an analysis of variance (ANOVA) and you will examine a graduate program or job posting in the social sciences that uses statistics.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 10 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8834049/download).

    · For Part 1, locate one of the articles listed in the assignment in the
    [Capella University LibraryLinks to an external site.](https://lat.strategiced.com/redirect?linkid=1651). See
    [Finding Articles Using the Journals Tab [Video]Links to an external site.](https://lat.strategiced.com/redirect?linkid=7800) for additional instructions.

    · For Part 2, locate a graduate program or job posting in the social sciences that uses statistics. This should be different from the program or career you used in the Week 1 Assignment.

    **Instructions**

    Complete and submit the Week 10 Assignment worksheet.

    **Competencies Measured**

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

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Identify the descriptive and inferential analyses conducted in the article.

    · Identify the type of analysis of variance conducted in the study.

    · Identify the variables in the analysis of variance conducted in the study.

    · Summarize the results of an analysis of variance.

    · Competency 4: Determine the generalizability of specific findings based on parameters of the research design.

    · Identify the sample used in the study and the population to which the results of the study can be generalized.

    · Competency 5: Evaluate academic options and careers in the social sciences that use statistics.

    · Describe a graduate program or career in the social sciences that uses statistics.

    · Explain why you think you would or would not be interested in pursuing the program or career you selected.

    **## cf_PSYC3700_Assignment_10_Worksheet.docx**

    ![](https://www.sweetstudy.com/questions/anova-20938143)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/anova-20938143)

    ## Week 10 Assignment

    This assignment is divided into two parts. In Part 1, you will read and interpret a published research article that uses some form of an analysis of variance (ANOVA). In Part 2, you will examine a graduate program or job posting in the social sciences that uses statistics.
    **Part 1: Interpreting a Published Research Article**

    For this assignment you will select
    one of the articles below. Each article uses a form of an ANOVA covered in this week’s assigned textbook reading. You can access these articles through the
    [Capella Library](https://campus.capella.edu/library/home).

    **Select**
    **one of the following articles:**

    Barrett, E., Kannis-Symand, L., Love, S., Ramos-Cejudo, J., & Lovell, G. P. (2023). Sports specific metacognitions and competitive state anxiety in athletes: A comparison between different sporting types.
    _Applied Cognitive Psychology, 37_(1), 200-211. https://doi.org/10.1002/acp.4040

    Lang, B., Lemanski, M. R., Heron, R. L., & Williams, K. S. (2025). Improving undergraduate psychology students’ understanding of the graduate school application process.
    _Teaching of Psychology, 52_(1), 53-58. https://doi.org/10.1177/00986283221126089

    Vincent, M., Suriá, R., Gonzálvez, C., Aparicio-Flores, M. P., Sanmartín, R., & García-Fernández, J. M. (2023). Emotional profiles of anxiety, depression, and stress: Differences in school anxiety.
    _Psychological Reports._ https://doi.org/10.1177/00332941231184384

    **Criteria:**

    · Identify the descriptive and inferential analyses reported in the article

    · Identify the type of analysis of variance conducted in the study

    · Identify the variables in the analysis of variance conducted in the study

    · Summarize the results of an analysis of variance

    · Identify the sample used in the study and the population to which the results of the study can be generalized

    | |
    | — |
    | **Which article did you select?** |
    | |
    | **What descriptive statistics were presented in the article?** |
    | |
    | **What inferential tests were conducted? There may be more than one; list them all.** |
    | |
    | **What type of analysis of variance test was conducted (e.g., one-way between groups ANOVA, repeated measures ANOVA, factorial ANOVA, ANCOVA, MANOVA)?** |
    | |
    | **In the analysis of variance, what were the independent and dependent variables? If there was a repeated measure or covariate, what was it?** |
    | |
    | **Write one paragraph summarizing the main findings of the study using language that someone with little to no knowledge of statistics can understand.** |
    | |
    | **Describe the sample used in this study. Include the sample size and describe the key demographic features of the sample.** |
    | |
    | **To what population can the results of this study be generalized? Explain how you determined this.** |
    | |

    ### Part 2: Examining a Graduate Program or Job Posting

    **Directions:** For this part of the assignment, you will identify a graduate program or job posting in the social sciences that involves statistics. This should be different from the program or career you used in the Week 1 Assignment. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    **Criteria:**

    · Describe a graduate program or career in the social sciences that uses statistics

    · Explain why you think you would or would not be interested in pursuing the program or career you selected

    | | |
    | — | — |
    | **Option A: Complete this section if you are selecting a graduate program.** |
    | **What is the full name of the graduate program you selected?** | |
    | **Provide a direct link to your selected program.** | |
    | **Are there any statistics-related entrance requirements? If so, describe them.** | |
    | **What statistics courses are students in this program required to take?** | |
    | **Is this a graduate program you think you will be interested in applying to in the future? Why or why not?** | |
    | **Option B: Complete this section if you are selecting a job posting.** |
    | **What is the full job title?** | |
    | **Provide a direct link to your selected job posting.** | |
    | **What are the statistics-related job requirements? (i.e., skills applicants must have)** | |
    | **What are the statistics-related job responsibilities? (i.e., tasks the person in the role will perform)** | |
    | **Is this a position you think you will be interested in applying for in the future? Why or why not?** | |

    1

    1

    ## image1.emf

    – 1
    – 2

  • [Solved] PIPD

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    \ 20250907_003309.jpg](https://www.sweetstudy.com/files/20250907-003309-jpg "20250907_003309.jpg")

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    \
    20250907_003309.jpg](https://www.sweetstudy.com/files/20250907-003309-jpg "20250907_003309.jpg")

  • [Solved] Statistic Chi-Square

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    I need assistance on understanding Chi-Square – ## cf_Week_09_Assignment_Data1.jasp – ## cf_PSYC3700_Assignment_9_06.docx **## cf_Week_09_Assignment_Data1.jasp** ## manifest.json { "jaspArchiveVersion" : "5", "jaspVersion" : "0.95.1" } ## analyses.json { "analyses" : [], "meta" : null …

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    I need assistance on understanding Chi-Square

    – ## cf_Week_09_Assignment_Data1.jasp

    – ## cf_PSYC3700_Assignment_9_06.docx

    **## cf_Week_09_Assignment_Data1.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

    1

    1

    **image1.emf**

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_09_Assignment_Data1.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_09_Assignment_Data1.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## cf_PSYC3700_Assignment_9_06.docx**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-chi-square)

    ## Week 9 Assignment

    For this assignment you will use the
    **Week_09_Assignment_Data.csv** file, which can be found on the Week 9 Assignment page in Canvas. This is a hypothetical dataset. Assume these data were collected from a representative sample of students from one large undergraduate-level psychology program.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_admit_type_**: Classification of whether the student was admitted as a transfer student (trn) or first-year student (fyr). Transfer students are admitted with at least 18 transfer credits while first-year students are admitted with less than 18 transfer credits.

    ·
    **_program_**: Whether the student was enrolled in the applied behavior analysis (aba) program, general psychology program, or pre-counseling program.

    **Criteria:**

    · Conduct a chi-square test in JASP

    · Explain how to check the assumptions of a chi-square test

    · Interpret the statistical significance of a chi-square test

    · Write a paragraph in APA style summarizing the results of your analysis

    | |
    | — |
    | **In JASP, conduct a chi-square test of independence to determine if there is evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_. Include the expected counts on your contingency table. Request Cramér’s**<br>**_V_ as a measure of effect size.** |
    | _[Include a screenshot of your JASP output here. Include the contingency table, chi-square tests table, and the table showing Cramér’s V.]_ |
    | **Have both assumptions of the chi-square test of independence been met? Explain how you checked each assumption.** |
    | |
    | **At the .05 alpha level, is the test statistically significant? Explain how you determined this.** |
    | |
    | **Is there evidence of a relationship between**<br>**_admit_type_ and**<br>**_program_ in this population? Explain how you determined this.** |
    | |
    | **Write a paragraph that briefly summarizes the study and reports the results of the chi-square test in APA style. Most students will need between 40 and 60 words.** |
    | |

    1

    1

    **image1.emf**

    – 1
    – 2

  • [Solved] Mathematics – Statistics Mathematics – Statistics Application Assignment 1: Understanding Your Community’s Needs

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    In-depth study guidance and analytical solution covering Mathematics – Statistics Mathematics – Statistics Application Assignment 1: Understanding Your Community's Needs.

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    Full assignment prompt and step-by-step guidance are included in the downloadable solution file.

  • [Solved] Statistics

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    I need assistance in understanding statistical formats. – ## cf_Week_08_Assignment_Data_0901.jasp – ## Overview_0901.docx – ## cf_PSYC3700_Assignment_8_0901.docx **## cf_Week_08_Assignment_Data_0901.jasp** ## manifest.json { "jaspArchiveVersion" : "5", "jaspVersion" : "0.95.1" } ## an…

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    I need assistance in understanding statistical formats.

    – ## cf_Week_08_Assignment_Data_0901.jasp

    – ## Overview_0901.docx

    – ## cf_PSYC3700_Assignment_8_0901.docx

    **## cf_Week_08_Assignment_Data_0901.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_0901.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 8 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833967/download).

    · Download the
    [Week_8_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834030/download) file.

    **Instructions**

    Complete and submit the Week 8 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.

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met.

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Interpret the statistical significance of a simple linear regression model.

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences.

    · Construct a scatterplot in JASP.

    · Construct a plot of residuals versus predicted values in JASP.

    · Construct a graph in JASP that can be used to evaluate the normality of residuals.

    · Construct a simple linear regression model using JASP.

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write one sentence in APA style summarizing the results of the simple linear regression model.

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 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 a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 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 a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_08_Assignment_Data_0901.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_0901.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 8 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833967/download).

    · Download the
    [Week_8_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834030/download) file.

    **Instructions**

    Complete and submit the Week 8 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.

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met.

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Interpret the statistical significance of a simple linear regression model.

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences.

    · Construct a scatterplot in JASP.

    · Construct a plot of residuals versus predicted values in JASP.

    · Construct a graph in JASP that can be used to evaluate the normality of residuals.

    · Construct a simple linear regression model using JASP.

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write one sentence in APA style summarizing the results of the simple linear regression model.

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 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 a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

    **## cf_Week_08_Assignment_Data_0901.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.95.1"
    }

    ## analyses.json

    {
    "analyses" : [],
    "meta" : null
    }

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_0901.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 8 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833967/download).

    · Download the
    [Week_8_Assignment_Data.csv](https://courseroom.capella.edu/courses/49502/files/8834030/download) file.

    **Instructions**

    Complete and submit the Week 8 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.

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met.

    · Competency 2: Interpret statistical findings in the context of their level of statistical and practical significance.

    · Interpret the statistical significance of a simple linear regression model.

    · Competency 3: Conduct statistical analyses to address research questions in the social sciences.

    · Construct a scatterplot in JASP.

    · Construct a plot of residuals versus predicted values in JASP.

    · Construct a graph in JASP that can be used to evaluate the normality of residuals.

    · Construct a simple linear regression model using JASP.

    · Competency 7: Explain the results of statistical analyses in common language.

    · Write one sentence in APA style summarizing the results of the simple linear regression model.

    **## cf_PSYC3700_Assignment_8_0901.docx**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistics-20936423)

    ## Week 8 Assignment

    For this assignment you will use the
    **Week_08_Assignment_Data.csv** file, which can be found on the Week 8 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 a quiz on data visualization students complete a survey measuring their self-efficacy as it relates to data visualization. A researcher wants to use students’ self-efficacy scores to predict their quiz scores.

    The dataset includes the following variables:

    ·
    **_id_**: A unique nominal-level identification number assigned to each student

    ·
    **_quiz_score_**: Score on a quiz measuring knowledge of data visualization

    ·
    **_self_efficacy_**: Composite score on a measure of self-efficacy as it relates to data visualization

    **Criteria:**

    · Construct a scatterplot in JASP

    · Construct a plot of residuals versus predicted values in JASP

    · Construct a graph in JASP that can be used to evaluate the normality of residuals

    · Evaluate graphs to determine if the assumptions of simple linear regression have been met

    · Construct a simple linear regression model using JASP

    · Interpret the statistical significance of a simple linear regression model

    · Write one sentence in APA style summarizing the results of the simple linear regression model

    | |
    | — |
    | **In JASP, construct a scatterplot with**<br>**_self_efficacy_ on the**<br>**_x_-axis and**<br>**_quiz_score_ on the**<br>**_y_-axis.** |
    | _[Include a screenshot of your scatterplot here]_ |
    | **Construct a plot of residuals versus predicted values for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Construct a histogram**<br>**or QQ plot of residuals for a regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include a screenshot of your graph here]_ |
    | **Explain how you checked each of the following assumptions of simple linear regression using the three graphs you have constructed. Explicitly state which graph you used to check each assumption and clearly describe what you looked for in that graph.** |
    | **Linearity**–<br> <br>**Independence of errors**– <br> <br>**Normality of residuals** – <br> <br>**Equal error variances** – |
    | **Use JASP to construct a simple linear regression model that uses**<br>**_self_efficacy_ to**<br>**predict**<br>**_quiz_score._** |
    | _[Include screenshots of your Model Summary, ANOVA, and Coefficients tables here]_ |
    | **Is**<br>**_self_efficacy_ a statistically significant predictor of**<br>**_quiz_score_? Explain how you determined this.** |
    | |
    | **Write one sentence in APA style summarizing the results of your simple linear regression model. Include the following: test statistic (**<br>**_t_ or**<br>**_F_), degrees of freedom,**<br>**_p_ value,**<br>**_R2_ value.** |
    | |

    1

    1

    **image1.emf**

    – 1
    – 2
    – 3

  • [Solved] Week 5

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    SOLVE & show work: log5 125=x the answer is {3} Pretend that you are tutoring someone who has never seen these problems before and give a detailed demonstration of its solution. – 2 years ago

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    SOLVE & show work: log5 125=x

    the answer is {3}

    Pretend that you are tutoring someone who has never seen these problems before and give a detailed demonstration of its solution.

    – 2 years ago

  • [Solved] Math wk 7

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    This week we will investigate conic shapes in the real world. Begin by selecting Start a New Conversation. Research ONE example of a conic section in real life that has not already been used by a classmate. Make your choice (Bouncing ball) the subject of your post, and then tell us in your own words…

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    This week we will investigate conic shapes in the real world.

    Begin by selecting Start a New Conversation. Research ONE example of a conic section in real life that has not already been used by a classmate.

    Make your choice (Bouncing ball) the subject of your post, and then tell us in your own words about your find. Do not just make this up off the top of your head. The St Louis Arch, for example, is NOT a parabola—it is an inverted catenary.

    To get credit for this Discussion, you **must cite a source** confirming that your example is, indeed, a conic and not some other more exotic curve.

    Using a personal example (My eyebrow) will not count unless you can cite a source verifying that eyebrows are parabolic.

    – 2 years ago

  • [Solved] Week 1 – Discussion: Mathematics and You

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    **Find a Ted Talk** that discusses Mathematics as its primary topic. **Summarize the video**. What did you find interesting? What were your key takeaways from the video? How do they relate to your previous experiences with Math? You need to include a citation of the video you found using APA format….

    Instant Solution Download

    $6.99

    Immediate access to the full model answer, formatted citations, and rubric breakdown.

    Need a Fresh Custom Paper?

    Have this question answered from scratch according to your specific instructions and deadline.

    Order on TutorsGallery →

    Assignment Prompt & Instructions

    **Find a Ted Talk** that discusses Mathematics as its primary topic.

    **Summarize the video**. What did you find interesting? What were your key takeaways from the video? How do they relate to your previous experiences with Math?

    You need to include a citation of the video you found using APA format. Be sure to put your information in your own words.

    _The initial post and responses should be in your own words and demonstrate critical thinking, analysis, and expected level of knowledge. Initial posts and replies should be in complete sentences and in paragraph form. You should not have bullet points as they are not in complete sentences or paragraph form. Copy-pasting may result in a zero._

    – 2 years ago