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Statistics for Data Science · Module 7 of 10

Common statistical tests

Choose the right test for your data.

📖 Key ideas

  1. t-test compares means of two groups.
  2. ANOVA compares means of three or more groups.
  3. Chi-square tests association between categorical variables.
  4. Correlation tests relationship strength between numbers.
  5. Non-parametric tests (Mann-Whitney) when assumptions fail.
💡 Real-life example: Choosing a test is choosing a tool: hammer for nails, screwdriver for screws.
t-testCompares two means
ANOVACompares 3+ means
Chi-square testTests categorical association
Non-parametric testFewer distribution assumptions