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Summaries
- Arithmetic, geometric, and harmonic means, and corresponding
confidence intervals
- Medians and percentiles
- Measurement of central tendency
- Skewness and kurtosis
- Confidence intervals
- Exact binomial (Clopper–Pearson)
- Wald
- Wilson
- Jeffreys
- Agresti
- Exact Poisson
- Ratios, proportions, and totals
- Confidence intervals
- Standard errors
- Over groups
- Robust and cluster–robust SEs
- Intragroup tests
Tables and tabulations
- 1-, 2-, n-way
- Pearson chi-squared
- Likelihood-ratio chi-squared
- Cramér's V
- Fisher's exact (2 x 2 and r x c)
- Goodman and Kruskal's gamma
- Kendall's tau
- Cell statistics
- Expected count
- Contribution to Pearson chi-squared
- Contribution to likelihood-ratio chi-squared
Noninteger confidence intervals
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Parametric tests
- t test (one and two sample)
- Binomial (one-sample) test
- Test of proportions (two sample)
- Bartlett's test
- Chi-squared (one-sample) variance test
- Variance ratio (two-sample) F test
Correlations
- Pearson simple and partial
- Semipartial
- Spearman's rank order
- Kendall's rank order
- Intracluster
- Cronbach's alpha
- Tetrachoric
- Canonical (multivariate) correlations
Tables of summary statistics
- Over groups and/or variables
- Statistics may include mean, count, sum, min, max, range, standard
deviation, variance, variation coefficient, standard error of
mean, skewness, kurtosis, median, percentiles, and interquartile range
Creation of datasets of summary statistics
- Statistics by group or subgroup of observations
- Statistics: mean, standard deviation, count, min, max, median,
percentiles, and interquartile range
Factor variables
- Automatically create indicators based on categorical variables
- Form interactions among discrete and continuous variables
- Include polynomial terms
- Perform contrasts of categories/levels
Watch Introduction to Factor Variables in Stata
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