T Test Chi Square Anova. Chi square test for independence. Chi square test appropriate test when you are working with independent samples and outcome or dependent variable is nominal or ordinal level data df number of rows 1 x s number of columns 1.
Nominal all chi square do customer industry types differ by company size. T test would suffice if you define only two groups didn t go through educational procedures x went through. Analysis of variance anova there are times where you want to compare three or more population means.
Chi square test chi square test is used when we perform hypothesis testing on two categorical variables from a single population or we can say that to compare categorical variables from a single.
Hypotheses about means metric interval or ratio one one sample t test is the purchase frequency different from 1 5. Here is a brief summary of each test. The 23 is the degrees of freedom for a t test. Chi square goodness of fit.
