the Chi-Square Test, chi-square test: Often used and more often misinterpreted” href=”https://ashford.instructure.com/courses/89389/external_tools/retrieve?display=borderless&url=https%3A%2F%2Flibrary.ashford.edu%2FAccount%2FLtiLogin.aspx%3Fcustom_redirectresource%3Dhttps%3A%2F%2Flibrary.ashford.edu%2Fezproxy.aspx%3Furl%3Dhttps%253A%2F%2Fjournals.sagepub.com%2Fdoi%2Fpdf%2F10.1177%2F1098214011426594″ target=”_blank” rel=”noopener”>The Chi-Square Test: Often Used and More Often Misinterpreted, The Chi-Square Test of Independence, How to Chi-Square Test (Links to an external site.), and How to Interpret Chi-Squared (Links to an external site.) articles; watch the Two-Way Tables, Chi-Square Tests: Crash Course Statistics #29 (Links to an external site.), Chi-Square Test for Association (Independence) | AP Statistics | Khan Academy (Links to an external site.), and Chi-Square: Lecture 11 videos.
Table 10.6 (Tanner, 2016)
The purpose of this discussion is to allow you to consider how nonparametric tests are used and how two types of chi-square tests compare. To do this, you will need to explain statistical concepts and assess assumptions, limitations, and implications associated with statistical tests.
For your initial post,
- Describe the chi-square goodness-of-fit test. Explain what this test measures.
- Explain how the chi-square goodness-of-fit test is similar to and different from a simple frequency distribution.
- Describe the chi-square test of independence. Explain what this test measures and how it is similar to and different from the chi-square goodness-of-fit test.
- How do you know when to use one analysis over the other?
- Provide a real-world example in which either a goodness-of-fit test or a test of independence should be used.
0 comments