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  1. Tests
  2. To determine if the mean or SD differs by group
  3. Pooled t-test: if you can assume variances are equal and normally distributed
  4. Separate variance t-test: if you cannot assume variances are equal and normally distributed.
  5.  
  6. Wilcoxon rank sum test: numerical variables not normally distributed.
  7. Paired t-test: paired differences normally distributed when studying central tendency(Two groups matched items or repeated measures)
  8. Wilcoxon rank test: Paired differences not normally distributed (Two groups matched items or repeated measures)
  9. F-Test: Numerical variables normally distributed (Two independent groups studying variability)
  10. One way Analysis of variance: Numerical variables normally distributed (Three or more groups)
  11. Kruskal-Wallis Rank Test: Numerical variables not normally distributed(3 or more groups)
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