Free Tool
Statistical Test Selector
Answer a few questions to find the right statistical test for your research.
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What is your research goal?
Select the primary objective of your research.
How to Choose the Right Statistical Test?
Choosing the right statistical test is one of the most critical steps in research. Using the wrong test can lead to invalid conclusions. The selection depends on several key factors:
- •Your research question (comparison, relationship, prediction)
- •Your variable types (continuous, categorical, ordinal)
- •Data distribution (normality assumption)
- •Sample independence (independent vs paired)
- •Number of groups (2 groups vs 3+ groups)
Parametric vs Non-Parametric Tests
Parametric Tests
- • Assume normal distribution
- • More statistical power
- • Work with means/variances
- • Examples: T-test, ANOVA, Pearson
Non-Parametric Tests
- • No distribution assumption
- • Work with ranks/medians
- • Robust to outliers
- • Examples: Mann-Whitney, Kruskal-Wallis