Stats Apps

Build a two-way contingency table from CSV import, binned numeric columns, or manual entries, then explore row, column, joint, and conditional probabilities with full workings.

Step-by-step confidence intervals and hypothesis tests for proportions and means. Supports one-sample, two-sample, and paired designs with CSV import, normality plots, and full workings.

Compare means across 3–5 groups with a full ANOVA table, F statistic, and p-value. Supports summary stats or raw data with CSV import. Pre-loaded with R's chickwts dataset.

Choose and create the right chart for your data. Walks you through histograms, boxplots, dot plots, stem-and-leaf displays, bar charts, mosaic plots, and Q-Q plots for one-variable numeric or categorical data.

Compute p-values for Z, t, and F distributions. Choose your distribution, pick a tail direction, enter your test statistic and degrees of freedom, and get an instant p-value with a shaded distribution curve.

Fit a least-squares regression line to paired (x, y) data. Get the full equation, R², ANOVA table, coefficient tests, and six diagnostic plots including residuals, Q-Q, and fitted-value charts.

Compute probabilities for Uniform, Normal (Z), Student's t, and Chi-Square distributions. Choose your distribution, set the goal (less than, greater than, or interval), enter values, and get an instant probability with a shaded distribution curve.