Which Statistical Test Should I Use?
Don't guess. Use our interactive decision guide to choose the correct statistical test for your research design and data type.
1. Comparing Means (Continuous Data)
If your dependent variable is continuous (e.g., height, weight, test scores) and normally distributed:
Comparing 2 Independent Groups
Use when comparing two separate groups (e.g., Treatment vs Control).
Independent T-Test →
Comparing 2 Paired Groups
Use when comparing the same group twice (e.g., Pre-test vs Post-test).
Paired T-Test →
Comparing 3+ Groups
Use when comparing means across three or more groups.
One-Way ANOVA →
2. Comparing Frequencies (Categorical Data)
If your dependent variable is categorical (e.g., Yes/No, Pass/Fail, Red/Blue):
Test of Independence
Check if two categorical variables are related.
Chi-Square Test →
3. Testing Relationships
If you want to see how variables change together:
Correlation
Measure strength and direction of relationship between two continuous variables.
Pearson Correlation →
