Describe the chi-square goodness-of-fit test.

Describe the chi-square goodness-of-fit test.

The Chi-Square Test, 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.

Requirements: 350 words

Answer preview to  describe the chi-square goodness-of-fit test.

APA

430 words

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