Which Statistical Test Should I Use?
Not sure which test to run? Answer a few questions about your data and research question, and this tool will recommend the appropriate statistical test.
Step 1
What are you trying to do?
Common Statistical Tests at a Glance
| Test | Use When |
|---|---|
| One-sample t-test | Comparing one group’s mean to a known value |
| Two-sample t-test | Comparing means of two independent groups |
| Paired t-test | Comparing before/after measurements on the same subjects |
| One-proportion z-test | Testing a claim about a single percentage |
| Two-proportion z-test | Comparing percentages between two groups |
| Chi-square test | Comparing observed vs expected frequencies, or testing independence of categorical variables |
| ANOVA | Comparing means across three or more groups |
| Linear regression | Modeling the relationship between two quantitative variables |
Related
- Introduction to Hypothesis Testing — understand the logic behind all statistical tests
- Confidence Interval Calculator — estimate population parameters with margin of error
- Normal Distribution Calculator — find probabilities and z-scores