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A chi-squared test for independence evaluates
statistically significant differences between proportions for 2 or more
groups in a data set.
- Pearson's chi-squared test, also known as the Chi-square
goodness-of-fit test
- Yates' chi-square test also known as Yates' correction for
continuity
- Mantel-Haenszel chi-square test
- Generallikelihood ratio tests, which are approximately chi-square
tests
- Wald's sequential test, which can be evaluated against a chi-squared
distribution. It is a charming bit of logic as in Wald & Wolfowitz
(1940).
Wald's test deserved MUCH MORE APPLICATION. See Bellissant et al (1994). |
