ORDER STATA
Basic statistics
Summaries
- Arithmetic, geometric, and harmonic means, and corresponding
confidence intervals
- Medians and percentiles
- Measurement of central tendency
- Skewness and kurtosis
- Confidence intervals
- Means
- Normal
- Exact Poisson
- Proportions
- Exact binomial (Clopper–Pearson)
- Wald
- Wilson
- Jeffreys
- Agresti
- Variance
- Normal
- Bonett
- Means
- 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's 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
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Watch Pearson’s chi-squared and Fisher’s exact test in Stata.
Watch Combining crosstabs and descriptives in Stata.
Watch Crosstabs and chi-squared tests calculator.
Watch Combining crosstabs and descriptives in Stata.
Watch Crosstabs and chi-squared tests calculator.
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
- Pairwise differences in means with tests and confidence intervals
- Multiple-comparison adjustments: Bonferroni, Šidák,
Scheffé, Tukey HSD, Duncan, and Student–Newman–Keuls adjustments
- Group comparisons that are significant
- Balanced and unbalanced data
t tests
- One sample
- Two independent samples
- Two paired samples
- Based on summary data (ttesti)
Watch One-sample t-test in Stata.
Watch t-test for two independent samples in Stata.
Watch t-test for two paired samples in Stata.
Watch One sample t-tests calculator.
Watch Two sample t-tests calculator.
Watch t-test for two independent samples in Stata.
Watch t-test for two paired samples in Stata.
Watch One sample t-tests calculator.
Watch Two sample t-tests calculator.
z tests
- One sample
- Two independent samples
- Two paired samples
- Support for clustered data
- Based on summary data (ztesti)
Tests of proportions
- One sample
- Two sample
- Support for clustered data
- Based on summary data (prtesti)
- Comparison of means
- Cohen's d
- Hedge's g
- Glass's Δ
- Point/biserial correlation
- Confidence intervals
- Variance explained by regression and ANOVA
- Eta-squared—η2
- Omega-squared—ω2
- Confidence intervals
Watch A tour of effect sizes.
Other common tests
- Binomial (one-sample) test
- 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
- Intraclass
- Automatically create indicators based on categorical variables
- Form interactions among discrete and continuous variables Updated
- Include polynomial terms
- Perform contrasts of categories/levels
Watch Introduction to Factor Variables in Stata tutorials
Additional resources
- Base Reference Manual
- Data Analysis Using Stata, Third Edition by Ulrich Kohler and Frauke Kreuter
- Using Stata Effectively: Data Management, Analysis, and Graphics Fundamentals training course
See New in Stata 16 for more about what was added in Stata 16.
