# Expanded List of Topics

Descriptive statistics (sample size, number missing, mean, median, standard deviation, etc.)

Testing distributions:

Testing distributional goodness of fit (normality tests, Kolmogorov-Smirnov test, chi-square goodness of fit test)

Comparison tests:

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 comparison tests:

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 regression lines:

Comparing simple linear (straight-line) regression lines (analysis of covariance [ANCOVA])

Frequency and contingency tables:

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])

Variance tests:

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

Survival analysis:

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:

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

Fitting models to data:

Model fitting (simple linear (fitting a line: b0 + b1*x),
multiple linear (fitting a linear combination of x terms: b0 + b1*x1 + b2*x2 + ... + bn*xn),
polynomial (fitting a polynomial, b0 + b1*x + b2*x**2 + ... + bn*x**n),
non-linear (fitting an arbitrary function f(x), e.g., (vmax*x) / (km+x),
dose*exp(-k*t)),
logistic (fitting the logit of y by a linear combination of x terms:
b0 + b1*x1 + b2*x2 + ... + bn*xn))