Chi-Square Tests

Non-parametric statistical tests used to analyze categorical data. Used to evaluate whether observed frequencies differ significantly from expected frequencies.

Assumptions

• Observations are independent.
• Categories are mutually exclusive and exhaustive.
• Expected frequencies ≥ 5 (combine small ones if needed).
• Sample size is sufficiently large.

Types

2 types:

• Test of Independence
• Goodness-of-Fit test