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 do I 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
Theory — how do you choose the right statistical test?
Choosing a statistical test starts with the research question and how the data were collected. The number of compared groups, whether measurements are paired, the variable's scale and the shape of its distribution determine the right family of tests. Based on these answers the calculator points to a starting test and explains the reasoning behind it. Treat the result as a starting point — check the specific test's assumptions, such as normality or equal variances, before reporting it.
Frequently asked questions
What if I do not know the distribution?
Does the selector perform the test?
See also
A/B test calculator
Compare two proportions in an A/B test. Calculate conversion rates, difference, uplift, z score, p value and c
A/B test planning — sample size, MDE and duration
Plan a two-proportion experiment, estimate detectable effect and traffic duration.
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.