
Descriptive statistics
(sample size, number missing, mean, median, standard deviation, etc.)
Testing distributional goodness of fit
(normality tests, Kolmogorov-Smirnov test, chi-square goodness of fit test)

Testing equality of means or location
(t test, analysis of variance [ANOVA], sign test [one-sample and two-sample paired], signed rank test [one-sample and two-sample paired], rank sum test, Kruskal-Wallis test, Friedman's test, Compare Samples, Cochran's Q test, McNemar's Q test)

Nonparametric tests of location or spread
(sign test [one-sample and two-sample paired], signed rank test [one-sample and two-sample paired], rank sum test, Kruskal-Wallis test, Friedman's test, Compare Samples, Cochran's Q test, McNemar's Q test, Ansari-Bradley test)
Comparing simple linear (straight-line) regression lines
(analysis of covariance [ANCOVA])

Frequency and contingency tables (categorical analysis)
(creating frequency tables, cross-tabulation [creating contingency tables, measures of association], contingency table analysis [chi-square test for independence, Fisher's exact test])

Testing equality of variances or dispersions
(chi-square test for variance, F test, Levene's test, Bartlett's test, Ansari-Bradley test)

Survival analysis (analyzing and comparing survival functions)
(life tables, Kaplan-Meier plot, comparing survival curves [Mantel-Cox test, Gehan-Breslow test, Tarone-Ware test])

Exploratory data analysis (EDA) (discovering patterns in data)
(coded tables, median polish, letter values, repeated-median regression)


Model fitting
(simple linear (fitting a line: b0 + b1*x),
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