How do you differentiate between (like how do you know when to use which of them)

A: one sample z-test

B:one-sample t-test

C: t-test for the difference between means for two related samples

D: t-test for the difference between means for two independent samples with homogeneity of variance

E: t-test for the difference between means for two independent samples with heterogeneity of variance

F: Wilcoxon test

G:Mann-Whitney test

H:a one sample z-test for proportions (or a chi-square goodness of fit)

I: chi-square goodness of fit only (where a one sample z-test of proportions is not appropriate)

J: a two sample z-test for the difference between proportions (or a chi-square test of independence)

K: chi-square test of independence only (where a two sample z-test for proportions is not appropriate.)

L: ANOVA

M: simple regression;

N: multiple regression