What’s the difference between ANOVA and t-test?

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Statistical Analysis

Q: What’s the difference between ANOVA and t-test?

Bibliography and Appendices
T-test:
  • Tests the significance of the difference between two group means.
  • For example, a t-test could be done to compare the test scores of the 2 classes.
ANOVA (Analysis of Variance):
  • Tests the difference among three or more groups by seeing if at least one group is significantly different.
  • For example, the test scores in many classes can be compared using ANOVA.
In sum, use a t-test for two groups and ANOVA when three or more groups are concerned. ANOVA can also deal with several much more complex situations, where possibly multiple factors could affect the outcome.

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