Psychology Question
chi-square-tests-and-examples
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: 500 words
Please make a referece to this chapter
Answer preview
It is used to evaluate the program for statistical significance in variables. It is used to assess whether or not specific outcomes in a sample flow follow expected proportions and evaluate the difference between them. The process helps convert each outcome count into a proportion of all outcomes. When the difference between outcomes and expectations is large, the test results are statistically significant (Nominal Data and the Chi-Square Tests. P, 2). For instance, when a researcher wants to know the relationship between the placement of candidates in a nursing class and their final assessment scores. Therefore, the researcher looks at the past five years’ record to see which orders performed better than the others. If there is no relationship between placement and grades, the candidates should be equally spread across the classes without signifying them.
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