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),
Examine the glossary.
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