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
- Cramer'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's chi-squared
- contribution to likelihood-ratio
chi-squared
Noninteger confidence intervals
Factor variables
- Automatically create indicators based on categorical variables
- Form interactions among discrete and continuous variables
- Include polynomial terms
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
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Correlations
- Pearson simple and partial
- semipartial
- Spearman's rank order
- Kendall's rank order
- intracluster
- Cronbach's alpha
- tetrachoric
- canonical (multivariate) correlations
Table 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
Create datasets of summary statistics
- statistics by group of sub-group of
observations
- statistics: mean, standard deviation,
count, min, max, median, percentiles,
interquartile range
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