This guide contains all of the ASC's statistics resources. If you do not see a topic, suggest it through the suggestion box on the Statistics home page.

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- Testing Parametric Assumptions
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- Chi-Square Tests
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- Mediation and Moderation
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- Predictive Analytics This link opens in a new window
- Quantitative Research Questions
- Hypothesis TestingToggle Dropdown
- Statistics Group Sessions

Here are some examples of when a chi-square test may be appropriate.

**Goodness-of-Fit:**

- RQ: Does the distribution of eye colors at NU differ from that of the general population?
- H0: The distribution of eye colors at NU does not differ from the general population.
- Ha: The distribution of eye colors at NU is different than expected based on the general population.

- RQ: Does there appear to be a flavor preference for ice cream amongst kindergarten students?
- H0: All ice cream flavors are preferred equally by kindergarten students.
- Ha: There is a significant difference in ice cream preference based on flavor.

**Test for Association:**

- RQ: Is there an association between gender and color preference?
- H0: Gender and color preference are independent of each other.
- Ha: There is a significant relationship between gender and color preference.

- RQ: Is grade level independent of school attendance?
- H0: There is no association between grade level and school attendance.
- Ha: There is a significant association between grade level and school attendance.

- Last Updated: Jul 16, 2024 11:19 AM
- URL: https://resources.nu.edu/statsresources
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