Complete the worksheet focusing on hypothesis testing, t-tests, and statistical

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Complete the worksheet focusing on hypothesis testing, t-tests, and statistical

Complete the worksheet focusing on hypothesis testing, t-tests, and statistical significance.
The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.
When understanding what we learn from a t-test, the key is to remember that we are comparing groups. The question we are answering: are these two groups the same (or different)?
This assessment will focus on t-tests and exploring how to determine if your results are statistically significant. You’ll also continue to work with your data for Assessment The assessments in this course build upon each other, so you are strongly encouraged to complete them in sequence.
Before you begin the assessment, complete the
following:
Download the Thinking About Your Data [DOCX] worksheet.
Below are the data files for your reference:
Note: The GSS Data 2018 [XLSX] has all of the data for all of the variables. The other files are JASP-compatible files with two variables each. These data files are labeled with the names of the two variables. To find the data file for your specific project, look for the file that names both of your variables.
News and Depress [CSV].
News and Happy [CSV].
News and Life [CSV].
News and Mntlhlth [CSV].
Raclive and Depress [CSV].
Raclive and Happy [CSV].
Raclive and Life [CSV].
Raclive and Mntlhlth [CSV].
Wwwhr and Depress [CSV].
Wwwhr and Happy [CSV].
Wwwhr and Life [CSV].
Wwwhr and Mntlhlth [CSV].
In your General Social Survey (GSS) reading list, review the following:
Hout and Hastings’s 2016 article, “Reliability of the Core Items in the General Social Survey: Estimates From the Three-Wave Panels, 2006–2014.” Please note that the GSS data in the course is from 2018; the information in this article still applies.
Preview the GSS Documentation available to you.
Tips for Success
Do each step one at a time. Running statistical tests requires paying attention to details.
Pay special attention to which data file to use—you’ll use several of them.
Keep JASP, your textbook, and Statistical Analysis in JASP: A Guide for Students open when working on your worksheet.
Read, don’t skim, each part of the worksheet. The text will often help you find the answer.
Do the entire worksheet (it’s long).
When you are done, scroll to the very end of the document. Then scroll up slowly to double-check that you have an answer in each box. Going in reverse (from the end to the beginning) is often the best way to spot something you overlooked earlier.
By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:
Competency 1: Interpret complex statistical findings and graphs in the context of their level of statistical significance, including the influence of effect size.
Interpret the results of a t-test on the variables sex and wwwhr.
Interpret the results of a Mann-Whitney test.
Competency 2: Apply statistical analyses to problems in the social sciences.
Perform a t-test on the variables sex and wwwhr.
Perform a t-test on the variables raclive and mntlhlth.
Describe t-tests.
Perform a Mann-Whitney on the variables raclive and happy.
Perform a Mann-Whitney on the variables raclive and life.
Perform a Mann-Whitney on the variables news and depress.
Describe Mann-Whitney.
Determine whether a t-test and Mann-Whitney can be used for your study.
Competency 3: Determine the generalizability of specific findings based on parameters of the research design.
Determine the generalizability of specific findings based on parameters of the research design.
Competency 5: Determine the reliability and validity of measures and research design.
Determine the reliability and validity of measures.
Competency 6: Communicate quantitative data in statistics, graphs, tables, and in common language.
Communicate statistical information in academic language.
Communicate statistical information about a Mann-Whitney in common language.
Communicate Mann-Whitney results in academic language.

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