StatInsight takes researchers, students and analysts from raw data to publication-ready results — 30 tests with assumption-aware guidance, 70+ charts, multiple-comparison correction, a plot combiner and one-click Word export. Zero coding.
Built in a medical statistics group · used in medicine, psychology, biology, business, education and engineering · trusted by researchers at
From loading a CSV to exporting a formatted Word report — StatInsight handles every step automatically.
Variables are auto-classified, normality auto-assessed, and assumption-aware buttons tell you exactly which test to use — green, yellow, or red.
T-Test, ANOVA, Chi-Squared, Kaplan-Meier, Regression, Correlation, MANOVA, Kruskal-Wallis, Friedman, AutoPrediction and more — all automated.
Histograms, rainclouds, violins, survival curves, forest plots, ROC curves, heatmaps, mosaics — every result gets the right chart, switchable to any compatible alternative.
Ran one test over twenty variables? Tick the family and get Holm, Bonferroni, Hochberg, Hommel or Benjamini-Hochberg adjusted p-values — plus the methods sentence for your paper.
Turn finished figures into one: a multi-panel figure, two ROC curves on shared axes, survival curves from two analyses — the app tells you what fits before you build.
31 pairwise procedures — Tukey, Games-Howell, Dunn, Dunnett, Nemenyi and more — each marked green, yellow or red for your data, switched in place with the table updating live.
Runs entirely on your machine after activation. No cloud, no server, no data ever leaves your computer — ideal for sensitive clinical datasets.
One-click Word export with embedded charts, pairwise tables, and report-ready paragraphs. A plot editor with journal-size presets, greyscale styling and PDF/SVG export finishes the figures.
Try all 30 tests, AutoPrediction, the plot combiner and multiple-comparison correction for 14 days. No credit card required. One click to get started.
No setup, no configuration. Open your file and follow the flow.
Load any CSV, Excel, or RTF. StatInsight classifies every variable as continuous, categorical, binary, or datetime and builds a full descriptive summary automatically.
Pick the variables and let Quick Statistics test every combination, or choose one of 30+ tests by hand. Assumption-aware traffic lights guide you before you click Run. Results appear in under a second.
Correct the p-values as a family, combine figures into a multi-panel plot, polish them in the editor — then one click exports everything to a formatted Word document.
Six demo datasets, each with three worked examples from the app — pick the one that looks like your study.
Pre/post scores, two groups, Likert scales: t-test, Wilcoxon, Spearman, ANOVA.
Did the intervention work? →Three teaching methods and a pre-test: ANOVA with post-hoc, ANCOVA, regression.
Which method works best? →Time to cancellation by plan: Kaplan-Meier, logistic regression, chi-square.
When do customers leave? →An A/B test done properly: chi-square on conversion, Mann-Whitney, odds ratios.
Did variant B really win? →A factorial field trial: two-way ANOVA with interaction, correlations, Kruskal-Wallis.
Which treatment yields most? →Attrition predictors ranked, quantified with odds ratios, satisfaction by department.
Why are people leaving? →Reviewers ask for corrected p-values, the right post-hoc test and a proper multi-panel figure. StatInsight has a tab for each.

Run a t-test on eighteen baseline variables and the chance of at least one false positive is about 60 %. The Multiple Comparisons tab lists every finished result, you tick the ones that form a family, and the adjusted p-values appear beside the raw ones.

Every result comes with a figure. Tick the ones you want and get a multi-panel grid — or draw them on one pair of axes: several ROC curves on one plot, survival curves from two analyses, the same test before and after excluding outliers.

Every result with a pairwise table has a dropdown of the procedures valid for that design — 31 in total, from Tukey HSD and Games-Howell to Dunn, Nemenyi, DSCF and Dunnett. Each one is marked by how well it suits the data in front of you.

The editor reads the figure, not the test name: a survival plot gets one row per arm with its confidence band and censor marks as toggles, a heatmap gets a colour-scale tab, a combined figure a panels tab. Only the controls that apply are shown.







Every statistical test generates the right visualisation, switchable to any compatible alternative — and finished figures can be combined into one. Hover to pause.










































Start free for 14 days — no credit card. Upgrade when you’re ready.