Learn by doing
Step-by-step walkthroughs of the most common statistical analyses. Each tutorial includes sample data so you can follow along in the analyzer.
Quick Reference
Which test should I use?
| Goal | Data type | Recommended test |
|---|---|---|
| Compare 2 groups | Metric outcome, 2 nominal groups | Independent t-Test |
| Compare 3+ groups | Metric outcome, 3+ nominal groups | One-way ANOVA |
| Compare paired measures | Two metric measurements | Paired t-Test |
| Measure linear relationship | Two metric variables | Pearson r |
| Measure rank relationship | Two ordinal/metric variables | Spearman rho |
| Test independence | Two categorical variables | Chi-square Test |
| Predict from one variable | Metric outcome | Linear Regression |
| Predict binary outcome | Binary outcome | Logistic Regression |
| Test for normality | Single metric variable | Normality Test (Shapiro-Wilk) |
| Reduce many variables | 4+ correlated metrics | PCA |
| Monitor process over time | Metric measurements in sequence | I-Chart or I-MR Chart |
| Check process capability | Metric measurements with spec limits | Process Capability (Cp, Cpk) |
| Find product associations | Transaction & item categories | Association Rules |