Define Research Question
1 dayState research hypothesis, select appropriate test, and verify assumptions.
Field context
This workflow is part of 4 niche fields
Complete guide for statistical inference project — step-by-step workflow, tools, checklist, and expert tips to get started.
State research hypothesis, select appropriate test, and verify assumptions.
Calculate required sample size and statistical power for the chosen test.
Execute hypothesis tests, compute confidence intervals, and check assumptions.
Write findings with confidence intervals, limitations, and practical significance.
Interpret p-values and determine statistical significance of test results.
Verify study has sufficient power before collecting data.
Run chi-square test for categorical data analysis.
Supplement hypothesis tests with correlation analysis.
Key benchmarks for statistical inference project.
| Data Type | Test | Assumptions |
|---|---|---|
| Two means | t-test | Normal-ish |
| Categories | Chi-square | Expected >5 |
| Paired | Paired t | Same subjects |
Defining your test plan before seeing data prevents p-hacking and increases credibility.
Always plot your data before running tests — a single outlier can invalidate results.
R, Python scipy, and jamovi provide full statistical tooling at no cost.