Assumptions decide the test
Shapiro–Wilk for normality, Brown–Forsythe for equal variances, and Cochran's rule for expected counts choose between t-tests, Welch, Mann–Whitney, ANOVA, Kruskal–Wallis, chi-square and Fisher's exact test.
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Plan a study and analyse its data in one place. Ask in plain English: QuantAI runs the right analysis, checks the assumptions, shows every rule it applied, and gives you the same analysis as Stata, Python, R and SPSS code.
Shapiro–Wilk for normality, Brown–Forsythe for equal variances, and Cochran's rule for expected counts choose between t-tests, Welch, Mann–Whitney, ANOVA, Kruskal–Wallis, chi-square and Fisher's exact test.
Linear, logistic, Poisson, modified Poisson, ordinal, multinomial and mixed-effects regression, plus Kaplan–Meier, log-rank and Cox survival analysis. VIF, events per variable, Breusch–Pagan, Hosmer–Lemeshow, ROC, ICC and overdispersion checks are built in.
Your file stays in your browser. Every analysis exports as Stata, Python, R and SPSS code that reads the same cleaned file. The assistant sees only a short summary of your data, never the file itself.
A significant result shows an association, not that one thing causes another. For a thesis, publication or decision with real consequences, get in touch about a full analysis.