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- Descriptive statistics
- testing distributions
- comparison tests
- nonparametric comparison tests
- comparing regression lines
- frequency and contingency tables
- variance tests
- survival analysis
- exploratory data analysis
- fitting models to data

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

**Testing distributional goodness of fit**

**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 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]

**Testing equality of variances or dispersions**

**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*) - 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)*

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