Tag: Statistics

  • [Solved] HW11

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    See attached

    – IMG_7637.jpeg
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  • [Solved] Statistics question -4

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  • [Solved] Statistic Worksheet Help

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    Need help understanding the fundamentals of statistics. – ## Overview_07_09.docx – ## cf_PSYC3700_Assignment_01_Worksheet_07_09_25.docx – statisticbook_01.pdf – statisticbook_02.pdf **## Overview_07_09.docx** **Overview** For this week's assignment, you'll apply some of the research met…

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    Assignment Prompt & Instructions

    Need help understanding the fundamentals of statistics.

    – ## Overview_07_09.docx

    – ## cf_PSYC3700_Assignment_01_Worksheet_07_09_25.docx

    – statisticbook_01.pdf
    – statisticbook_02.pdf

    **## Overview_07_09.docx**

    **Overview**

    For this week's assignment, you'll apply some of the research methods you read about in Chapters 1 and 2 by analyzing a scenario. You'll also explore how statistics are used in various fields.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 1 Assignment Worksheet](https://courseroom.capella.edu/courses/49502/files/8833979/download).

    **Instructions**

    Complete and submit the Week 1 Assignment worksheet.

    **## cf_PSYC3700_Assignment_01_Worksheet_07_09_25.docx**

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

    ![](https://www.sweetstudy.com/questions/statistic-worksheet-help)

    ## Week 1 Assignment: Introduction to Statistics in Psychology

    **PART 1: Introduction to Research Methods**
    In this part of the assignment, we will examine data collected from the General Social Survey (GSS), which was administered to a large, representative sample of American adults.

    The GSS includes many different questions, but we will focus on two variables:
    **Race** and
    **Mntlhth**.

    · The
    **_Race_** variable classifies respondents into three categories: “Black,” “White,” and “Other.”

    · The
    **_Mntlhth_** variable measures the number of days an individual experienced poor mental health in the past 30 days.

    A researcher wants to use this dataset to determine if there are differences in the average number of days with poor mental health among people of different races.

    **Directions:** Use the scenario above to answer the questions below.

    | |
    | — |
    | **If a researcher using the GSS data finds that people of different races have different average numbers of days with poor mental health, to which population can they generalize that finding?** |
    | |
    | **If the researcher finds that people of different races have different average numbers of days with poor mental health, can they conclude that race**<br>**caused these differences? Why or why not?** |
    | |
    | **The GSS’s**<br>**_Race_ variable has three categories: “Black,” “White,” and “Other.” How might these limited options impact the study’s validity? (Most students will need 60-80 words to completely address this question.)** |
    | |

    **PART 2: Exploring Post-Graduation Opportunities**
    In this section, you will explore either a graduate program or a job posting related to psychology that utilizes statistics.

    **Directions:** Identify a graduate program (i.e., a master’s or doctoral program) or a job posting related to psychology that involves statistics. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    | | |
    | — | — |
    | **Option A: Complete this section if you selected a graduate program.** |
    | **What is the name of the program you selected?** | |
    | **Provide a 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?** | |
    | **Option B: Complete this section if you selected a job posting.** |
    | **What is the job title?** | |
    | **Provide a 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)** | |

    1

    1

    **image1.emf**

    **statisticbook_01.pdf**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/statisticbook-01-pdf)

    **statisticbook_02.pdf**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/statisticbook-02-pdf)

    **statisticbook_02.pdf**

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    **## Overview_07_09.docx**

    **Overview**

    For this week's assignment, you'll apply some of the research methods you read about in Chapters 1 and 2 by analyzing a scenario. You'll also explore how statistics are used in various fields.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 1 Assignment Worksheet](https://courseroom.capella.edu/courses/49502/files/8833979/download).

    **Instructions**

    Complete and submit the Week 1 Assignment worksheet.

    **## cf_PSYC3700_Assignment_01_Worksheet_07_09_25.docx**

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

    ![](https://www.sweetstudy.com/questions/statistic-worksheet-help)

    ## Week 1 Assignment: Introduction to Statistics in Psychology

    **PART 1: Introduction to Research Methods**
    In this part of the assignment, we will examine data collected from the General Social Survey (GSS), which was administered to a large, representative sample of American adults.

    The GSS includes many different questions, but we will focus on two variables:
    **Race** and
    **Mntlhth**.

    · The
    **_Race_** variable classifies respondents into three categories: “Black,” “White,” and “Other.”

    · The
    **_Mntlhth_** variable measures the number of days an individual experienced poor mental health in the past 30 days.

    A researcher wants to use this dataset to determine if there are differences in the average number of days with poor mental health among people of different races.

    **Directions:** Use the scenario above to answer the questions below.

    | |
    | — |
    | **If a researcher using the GSS data finds that people of different races have different average numbers of days with poor mental health, to which population can they generalize that finding?** |
    | |
    | **If the researcher finds that people of different races have different average numbers of days with poor mental health, can they conclude that race**<br>**caused these differences? Why or why not?** |
    | |
    | **The GSS’s**<br>**_Race_ variable has three categories: “Black,” “White,” and “Other.” How might these limited options impact the study’s validity? (Most students will need 60-80 words to completely address this question.)** |
    | |

    **PART 2: Exploring Post-Graduation Opportunities**
    In this section, you will explore either a graduate program or a job posting related to psychology that utilizes statistics.

    **Directions:** Identify a graduate program (i.e., a master’s or doctoral program) or a job posting related to psychology that involves statistics. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    | | |
    | — | — |
    | **Option A: Complete this section if you selected a graduate program.** |
    | **What is the name of the program you selected?** | |
    | **Provide a 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?** | |
    | **Option B: Complete this section if you selected a job posting.** |
    | **What is the job title?** | |
    | **Provide a 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)** | |

    1

    1

    **image1.emf**

    **statisticbook_01.pdf**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/statisticbook-01-pdf)

    **statisticbook_02.pdf**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/statisticbook-02-pdf)

    **## Overview_07_09.docx**

    **Overview**

    For this week's assignment, you'll apply some of the research methods you read about in Chapters 1 and 2 by analyzing a scenario. You'll also explore how statistics are used in various fields.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Download the
    [Week 1 Assignment Worksheet](https://courseroom.capella.edu/courses/49502/files/8833979/download).

    **Instructions**

    Complete and submit the Week 1 Assignment worksheet.

    **## cf_PSYC3700_Assignment_01_Worksheet_07_09_25.docx**

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

    ![](https://www.sweetstudy.com/questions/statistic-worksheet-help)

    ## Week 1 Assignment: Introduction to Statistics in Psychology

    **PART 1: Introduction to Research Methods**
    In this part of the assignment, we will examine data collected from the General Social Survey (GSS), which was administered to a large, representative sample of American adults.

    The GSS includes many different questions, but we will focus on two variables:
    **Race** and
    **Mntlhth**.

    · The
    **_Race_** variable classifies respondents into three categories: “Black,” “White,” and “Other.”

    · The
    **_Mntlhth_** variable measures the number of days an individual experienced poor mental health in the past 30 days.

    A researcher wants to use this dataset to determine if there are differences in the average number of days with poor mental health among people of different races.

    **Directions:** Use the scenario above to answer the questions below.

    | |
    | — |
    | **If a researcher using the GSS data finds that people of different races have different average numbers of days with poor mental health, to which population can they generalize that finding?** |
    | |
    | **If the researcher finds that people of different races have different average numbers of days with poor mental health, can they conclude that race**<br>**caused these differences? Why or why not?** |
    | |
    | **The GSS’s**<br>**_Race_ variable has three categories: “Black,” “White,” and “Other.” How might these limited options impact the study’s validity? (Most students will need 60-80 words to completely address this question.)** |
    | |

    **PART 2: Exploring Post-Graduation Opportunities**
    In this section, you will explore either a graduate program or a job posting related to psychology that utilizes statistics.

    **Directions:** Identify a graduate program (i.e., a master’s or doctoral program) or a job posting related to psychology that involves statistics. If you select a graduate program, complete Option A only. If you select a job posting, complete Option B only.

    | | |
    | — | — |
    | **Option A: Complete this section if you selected a graduate program.** |
    | **What is the name of the program you selected?** | |
    | **Provide a 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?** | |
    | **Option B: Complete this section if you selected a job posting.** |
    | **What is the job title?** | |
    | **Provide a 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)** | |

    1

    1

    **image1.emf**

    **statisticbook_01.pdf**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/statisticbook-01-pdf)

    **statisticbook_02.pdf**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/statisticbook-02-pdf)

    – 1
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  • [Solved] Statistics question

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    In-depth study guidance and analytical solution covering Statistics question.

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    Assignment Prompt & Instructions

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

  • [Solved] Statistic

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    I need help understanding JASP – ## cf_GSS_30s_19.jasp – ## Overview_19.docx – ## cf_PSYC3700_Assignment_2_Worksheet_19.docx **## cf_GSS_30s_19.jasp** ## manifest.json { "jaspArchiveVersion" : "5", "jaspVersion" : "0.19.3" } ## analyses.json { "analyses" : [], "meta" : null } ## index….

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    Assignment Prompt & Instructions

    I need help understanding JASP

    – ## cf_GSS_30s_19.jasp

    – ## Overview_19.docx

    – ## cf_PSYC3700_Assignment_2_Worksheet_19.docx

    **## cf_GSS_30s_19.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.19.3"
    }

    ## analyses.json

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

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_19.docx**

    **Overview**

    For this week’s assignment you will demonstrate your ability to use JASP to compute descriptive statistics. You will also summarize key descriptive statistics in a sentence consistent with APA style.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Obtain access to JASPLinks to an external site. Statistical Software.

    · Download the
    [Week 2 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833988/download).

    · Download the
    [GSS_30.csv](https://courseroom.capella.edu/courses/49502/files/8833972/download). These data were extracted from
    [The General Social Society (GSS)Links to an external site.](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/4849111430006731?auth=SAML&section=4849111480006731). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022.

    **Instructions**

    Complete and submit the Week 2 Assignment worksheet.

    **Competencies Measured**

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

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

    · Open a dataset in JASP

    · Select the correct variable types in JASP

    · Compute descriptive statistics for a variable in JASP

    · Compute descriptive statistics for a variable, with a split variable, in JASP

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

    · Write a sentence to report descriptive statistics that is consistent with APA standards.

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    **## cf_GSS_30s_19.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.19.3"
    }

    ## analyses.json

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

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_19.docx**

    **Overview**

    For this week’s assignment you will demonstrate your ability to use JASP to compute descriptive statistics. You will also summarize key descriptive statistics in a sentence consistent with APA style.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Obtain access to JASPLinks to an external site. Statistical Software.

    · Download the
    [Week 2 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833988/download).

    · Download the
    [GSS_30.csv](https://courseroom.capella.edu/courses/49502/files/8833972/download). These data were extracted from
    [The General Social Society (GSS)Links to an external site.](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/4849111430006731?auth=SAML&section=4849111480006731). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022.

    **Instructions**

    Complete and submit the Week 2 Assignment worksheet.

    **Competencies Measured**

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

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

    · Open a dataset in JASP

    · Select the correct variable types in JASP

    · Compute descriptive statistics for a variable in JASP

    · Compute descriptive statistics for a variable, with a split variable, in JASP

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

    · Write a sentence to report descriptive statistics that is consistent with APA standards.

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    **## cf_GSS_30s_19.jasp**

    ## manifest.json

    {
    "jaspArchiveVersion" : "5",
    "jaspVersion" : "0.19.3"
    }

    ## analyses.json

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

    ## index.html

    ## Results

    ## internal.sqlite

    **## Overview_19.docx**

    **Overview**

    For this week’s assignment you will demonstrate your ability to use JASP to compute descriptive statistics. You will also summarize key descriptive statistics in a sentence consistent with APA style.

    **Preparation**

    Before you begin this assignment, complete the following:

    · Obtain access to JASPLinks to an external site. Statistical Software.

    · Download the
    [Week 2 Assignment Worksheet [DOCX]](https://courseroom.capella.edu/courses/49502/files/8833988/download).

    · Download the
    [GSS_30.csv](https://courseroom.capella.edu/courses/49502/files/8833972/download). These data were extracted from
    [The General Social Society (GSS)Links to an external site.](https://capella.alma.exlibrisgroup.com/leganto/public/01CAPELLA_INST/lists/4849111430006731?auth=SAML&section=4849111480006731). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022.

    **Instructions**

    Complete and submit the Week 2 Assignment worksheet.

    **Competencies Measured**

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

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

    · Open a dataset in JASP

    · Select the correct variable types in JASP

    · Compute descriptive statistics for a variable in JASP

    · Compute descriptive statistics for a variable, with a split variable, in JASP

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

    · Write a sentence to report descriptive statistics that is consistent with APA standards.

    **## cf_PSYC3700_Assignment_2_Worksheet_19.docx**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)**Remove or Replace: Header Is Not Doc Title**

    ![](https://www.sweetstudy.com/questions/statistic-20929173)

    ## Week 2 Assignment

    **PART 1: Getting Started with JASP**

    You will need to have access to JASP to complete this assignment and all remaining assignments in this course. For installation information, troubleshooting guides, and support, please refer to the
    [JASP Statistical Software](https://campus.capella.edu/quantitative-skills-center/tools-and-software/jasp) page on Campus.

    For this part of the assignment you will use the GSS_30s.csv file, which can be found on the Week 2 Assignment page in Canvas. These data were extracted from the General Social Survey (GSS). In this file, data were limited to individuals between the ages of 30 and 39 who completed the survey in 2022. While it is not necessary for this assignment, if you are interested, you can learn more about the GSS
    [here](https://gss.norc.org/).

    The dataset includes the following variables:

    ·
    **_year_**: Year in which that participant's data were collected

    ·
    **_id__**: A unique nominal-level identification number assigned to each participant

    ·
    **_childs_**: Number of children the participant has

    ·
    **_age_**: Age in years

    ·
    **_sex_**: Sex assigned at birth; options were limited to "Male" and "Female"

    ·
    **_race_**: Race; options were limited to "Black," "White," and "Other"

    ·
    **_income_**: Annual income range

    ·
    **_mntlhlth_**: Number of days with poor mental health in the last 30 days

    ·
    **_depress_**: Whether the participant has ever been told by a medical professional that they have depression; options were limited to "Yes" and "No"

    **Directions:**

    1. Download the GSS_30s.csv file from the Week 2 Assignment page in Canvas.

    2. Open JASP.

    3. Open the GSS_30s dataset in JASP.

    4. Update any variable types that are incorrect by default.

    5. Take a screenshot of JASP showing the variables with the updated variable types and copy+paste it below.

    _[Insert screenshot of your JASP worksheet here showing all of the variables types]_

    ### PART 2: Computing Descriptive Statistics in JASP

    For this part of the assignment, you will continue to use the GSS_30s.csv file. You will compute descriptive statistics using JASP then write-up your results following APA standards. Note that the descriptive statistics you are asked to compute in JASP are not all checked by default, so you will need to manually select some of the requested statistics.

    **Directions:** Use the GSS_30s.csv dataset discussed above to answer the questions below.

    | |
    | — |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |
    | **Write a sentence or two summarizing the results of your analysis above (i.e., descriptive statistics for the**<br>**_mntlhlth_ variable). Your summary should be consistent with APA style (e.g., appropriate use of abbreviations) and include the following elements: sample size, mean, and standard deviation.** |
    | |
    | **Using JASP, compute the sample size, mean, median, standard deviation, variance, and quartiles for the**<br>**_mntlhlth_ variable split by the**<br>**_race_ variable.** |
    | _[Insert a screenshot of your descriptive statistics table here]_ |

    1

    1

    ## image1.emf

    – 1
    – 2
    – 3

  • [Solved] STATISTICSwk4

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    – ## STATISTICSWK4.docx – 2024-02-281.png – Screenshot2025-07-02071805.png **## STATISTICSWK4.docx** 2 By now you are adept at calculating averages and intuitively can estimate whether something is "normal" (a measurement not too far from average) or unusual (pretty far from the average you might ex…

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    Assignment Prompt & Instructions

    – ## STATISTICSWK4.docx

    – 2024-02-281.png
    – Screenshot2025-07-02071805.png

    **## STATISTICSWK4.docx**

    2

    By now you are adept at calculating averages and intuitively can estimate whether something is "normal" (a measurement not too far from average) or unusual (pretty far from the average you might expect). This class helps to quantify exactly how far something you measure is from average using the normal distribution. Basically, you mark the mean down the middle of the bell curve, calculate the standard deviation of your sample, and then add (or subtract) that value to come up with the mile markers (z-scores) that measure the distance from the mean.

    For example, if the average height of adult males in the United States is 69 inches with a standard deviation of 3 inches, we could create the graph below.

    Men who are somewhere between 63 and 75 inches tall would be considered of a fairly normal height.  Men shorter than 63 inches or taller than 75 inches would be considered unusual (assuming our sample data represents the actual population). You could use a z-score to look up exactly what percentage of men are shorter than (or taller than) a particular height.

    Think of something in your work or personal life that you measure regularly. (No actual calculation of the mean, standard deviation, or z-scores is necessary.)  What value is "average"? What values would you consider to be unusually high or unusually low? If a value were unusually high or low—how would it change your response to the measurement?

    **2024-02-281.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/2024-02-281-png-10339019)

    **Screenshot2025-07-02071805.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/screenshot2025-07-02071805-png)

    **Screenshot2025-07-02071805.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/screenshot2025-07-02071805-png)

    **## STATISTICSWK4.docx**

    2

    By now you are adept at calculating averages and intuitively can estimate whether something is "normal" (a measurement not too far from average) or unusual (pretty far from the average you might expect). This class helps to quantify exactly how far something you measure is from average using the normal distribution. Basically, you mark the mean down the middle of the bell curve, calculate the standard deviation of your sample, and then add (or subtract) that value to come up with the mile markers (z-scores) that measure the distance from the mean.

    For example, if the average height of adult males in the United States is 69 inches with a standard deviation of 3 inches, we could create the graph below.

    Men who are somewhere between 63 and 75 inches tall would be considered of a fairly normal height.  Men shorter than 63 inches or taller than 75 inches would be considered unusual (assuming our sample data represents the actual population). You could use a z-score to look up exactly what percentage of men are shorter than (or taller than) a particular height.

    Think of something in your work or personal life that you measure regularly. (No actual calculation of the mean, standard deviation, or z-scores is necessary.)  What value is "average"? What values would you consider to be unusually high or unusually low? If a value were unusually high or low—how would it change your response to the measurement?

    **2024-02-281.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/2024-02-281-png-10339019)

    **Screenshot2025-07-02071805.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/screenshot2025-07-02071805-png)

    **## STATISTICSWK4.docx**

    2

    By now you are adept at calculating averages and intuitively can estimate whether something is "normal" (a measurement not too far from average) or unusual (pretty far from the average you might expect). This class helps to quantify exactly how far something you measure is from average using the normal distribution. Basically, you mark the mean down the middle of the bell curve, calculate the standard deviation of your sample, and then add (or subtract) that value to come up with the mile markers (z-scores) that measure the distance from the mean.

    For example, if the average height of adult males in the United States is 69 inches with a standard deviation of 3 inches, we could create the graph below.

    Men who are somewhere between 63 and 75 inches tall would be considered of a fairly normal height.  Men shorter than 63 inches or taller than 75 inches would be considered unusual (assuming our sample data represents the actual population). You could use a z-score to look up exactly what percentage of men are shorter than (or taller than) a particular height.

    Think of something in your work or personal life that you measure regularly. (No actual calculation of the mean, standard deviation, or z-scores is necessary.)  What value is "average"? What values would you consider to be unusually high or unusually low? If a value were unusually high or low—how would it change your response to the measurement?

    **2024-02-281.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/2024-02-281-png-10339019)

    **Screenshot2025-07-02071805.png**

    This file is too large to display. [View in new window](https://www.sweetstudy.com/files/screenshot2025-07-02071805-png)

    – 1
    – 2
    – 3

  • [Solved] STATISTICS

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    Results from surveys or opinion polls often report a range of values—the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how…

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    Assignment Prompt & Instructions

    Results from surveys or opinion polls often report a range of values—the sample statistic plus or minus a margin of error (the resulting range is called a confidence interval). This tells us that the range is likely to contain the population parameter. How much wiggle room we provide is based on how much confidence we wish to have that the range contains the actual population mean. That confidence level is directly related to the middle "truth" area we will accept versus the dubious tail area we will reject—also known as alpha (α). The more confidence we wish to have—the more middle ground we will need to accept (more wiggle room)—thus a smaller tail area. If we insist on a larger alpha (more dubious tail area), we narrow the middle ground we will accept and thus provide less wiggle room—so the more likely it is that we will miss the true average (and, thus, we have a lower confidence level). A 95% confidence level leaves 5% alpha. A 99% confidence level leaves 1% alpha.
    Now, without calculating a mean or margin of error or a confidence level, provide an example from your current (or your future) professional or personal life that describes a measurement that is normal—and how much wiggle room on either side would be appropriate. When would you want a 95% confidence interval, and when would you want a 99% confidence level (a little more wiggle room—so a wider range)? This serves as your initial post to the discussion (if you choose topic 1) and is due by 11:59 p.m. EST on Saturday.
    -OR-
    **Topic 2:**
    Two or more samples are often compared when we suspect that there are differences between the groups—for example, are cancer rates higher in one town than another, or are test scores higher in one class than another? In your chosen field, when might you want to know the mean differences between two or more groups? Please describe the situation (what groups, what measurements) including how and why it would be used.

  • [Solved] math 6

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    Students will learn to identify the null and alternate hypotheses in statistical tests, recognize the types of errors and level of significance and test the mean using normal distribution when the standard deviation is known and the _t_ distribution when the standard deviation is unknown Read all of…

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    Assignment Prompt & Instructions

    Students will learn to identify the null and alternate hypotheses in statistical tests, recognize the types of errors and level of significance and test the mean using normal distribution when the standard deviation is known and the _t_ distribution when the standard deviation is unknown
    Read all of the highlighted information on pages 425-434 & 441-450 as well as complete the suggested Study Guide exercises #1 (page 426), #2 (page 431), #3 (pages 432-433), and #4 (pages 445-446).
    **Submit your solutions to problems (section 9.1) #7, 8, 12, 15, & 18 (pages 436-437), (section 9.2) #2, 4, 7 & 10** **(page 451).**
    **Note: You are expected to show all the calculations and explain the results, answers only are not sufficient.**
    **How to Submit:** Please click the link above to submit your assignment; the assignment can be submitted either as:
    1. a. PDF file: do all the work on paper legibly in the order given, scan and save as PDF
    2. b. MS Word document in the order given.
    You should feel free to put any comments in your document to provide me with any additional information you would like me to know about the assignment.

  • [Solved] math 7

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    Students will learn to construct a scatter diagram, estimate visually the location of the best-fitting line, and compute the sample correlation coefficient. Read all the highlighted information on pp.141-157 as well as complete the suggested Study Guide exercises #1 (page 148), #2 (page149), and #3 …

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    Assignment Prompt & Instructions

    Students will learn to construct a scatter diagram, estimate visually the location of the best-fitting line, and compute the sample correlation coefficient.
    Read all the highlighted information on pp.141-157 as well as complete the suggested Study Guide exercises #1 (page 148), #2 (page149), and #3 (page 154-155).
    **Submit your solutions to (section 4-1) problems #2, 4, 7, 8 & 13 (pages 158-159).**
    **Note: You are expected to show all the calculations and explain the results, answers only are not sufficient.**
    **How to Submit:** Please click the link above to submit your assignment; the assignment can be submitted either as:
    1. a. PDF file: do all the work on paper legibly in the order given, scan and save as PDF
    2. b. MS Word document in the order given.
    You should feel free to put any comments in your document to provide me with any additional information you would like me to know about the assignment.

  • [Solved] math 7

    ✓ Verified Academic Solution Available

    Executive Solution Overview

    Students will learn to find and graph the equation of the least-squares line and use it to predict a value of the response variable _y_ for a specified value of the variable _x_ and explain the difference between interpolation and extrapolation. Read all the highlighted information on pages 164-173 …

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    Assignment Prompt & Instructions

    Students will learn to find and graph the equation of the least-squares line and use it to predict a value of the response variable _y_ for a specified value of the variable _x_ and explain the difference between interpolation and extrapolation.
    Read all the highlighted information on pages 164-173 as well as complete the suggested Study Guide exercises #4 (pages 170-172), and #5 (page 174).
    **Submit your solutions to (section 4.2) problems #1, 2, 7 & 8 (pages 175-176)**
    **Note: You are expected to show all the calculations and explain the results, answers only are not sufficient.**
    **How to Submit:** Please click the link above to submit your assignment; the assignment can be submitted either as:
    1. a. PDF file: do all the work on paper legibly in the order given, scan and save as PDF
    2. b. MS Word document in the order given.
    You should feel free to put any comments in your document to provide me with any additional information you would like me to know about the assignment.