A<unk>  is any statistical hypothesis test in which the test statistic has a<unk><unk>  distribution when the null hypothesis is true, or any in which the probability distribution of the test statistic (assuming the null hypothesis is true) can be made to approximate a<unk><unk>  distribution as closely as desired by making the sample size large enough.
Specifically, a<unk>  for independence evaluates statistically significant differences between proportions for two or more groups in a data set.
Pearson's<unk> , also known as the<unk><unk>  goodness-of-fit test, commonly referred to as the<unk> 
Yates'<unk>  also known as Yates' correction for continuity
Mantel-Haenszel<unk> 
Linear-by-linear association<unk>
Chi-square test
Likelihood-ratio test
Binomial test
Analysis of variance
Wilcoxon signed-rank test
Analysis of covariance
Kendall tau rank correlation coefficient
Analysis of rhythmic variance