Hypothesis test calculator and test selector
Describe your research question, outcome and study design. The tool recommends a starting test, explains the choice and highlights a key assumption.
How to use this page
- Choose the goal and outcome type.
- Specify the group count, pairing and data shape.
- Read the explanation and open the recommended test calculator.
What this page does not do: The selector covers common simple designs. Covariate models, nested data, survival analysis and paired binary outcomes require another method or statistical advice.
Further reading
Test selection starts with the research question and the way observations were collected. Group count, pairing, measurement scale and distribution determine the relevant family of tests.
The result is a starting point. Before reporting, inspect the selected test's assumptions, data quality, effect size and confidence interval.
Frequently asked questions
What if I do not know the distribution?
Choose “unknown”. The tool recommends a conservative rank-based test, but with larger samples you should inspect residuals and the estimand.
Does the selector perform the test?
No. It selects a method and links to a calculator where you enter the data required by that test.
See also
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.
Adjusted R-squared calculator
Convert R² to adjusted R² using the number of observations and predictors in a regression model.
Beta distribution calculator
Calculate beta density, CDF, upper tail and quantile together with its mean and variance.