What the guide covers
- Decision table: which test to use by task type
- Parametric tests and their non-parametric alternatives side by side
- When to choose a non-parametric variant: normality, small sample, ordinal data
- How to read the p-value correctly — and why it is not enough on its own
- ANOVA: checking assumptions, the main table, post-hoc tests
- Regression and correlation: R², B vs. Beta, checking residuals
Want the other part too? Statistica: where to find what — Paths to every analysis in the ribbon and the classic menu, working with data, charts and the quality module — for current and older versions of Statistica.