Descriptive stats, t-tests, ANOVA, correlation, chi-square and normality — with proper p-values, effect sizes, and a plain-English verdict. No signup, no ads.
Paste or upload your data, open the Hypothesis tests tab, pick a t-test (one-sample, independent, or paired) and the columns to compare. You'll get the t-statistic, degrees of freedom, p-value, confidence interval and effect size, plus a plain-English verdict. It's free, needs no signup, and runs in your browser.
Student's t-test assumes the two groups have equal variances; Welch's t-test does not, so it's more reliable when the groups have different variances or sample sizes. This dashboard uses Welch's by default and also shows the Student's pooled result underneath.
Use the Missing data tab. It recognises blanks and markers like NA, N/A, null and NaN, reports the percentage missing per column, and lets you drop rows/columns or impute with mean, median, mode, forward-fill or linear interpolation. It warns you when imputing a large share of a column could bias your results.
Yes. P-values are computed with the regularized incomplete beta and gamma functions (the t, F and chi-square distributions) and were validated against known R/SciPy values to four or more decimal places.
No. Every calculation runs locally in your browser with JavaScript. Your data never leaves your device, and the page is blocked (by its content-security policy) from making any network requests.
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