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Define the analysis of variance (ANOVA) and describe its relationship to the tt-test, highlighting the specific limitation of the tt-test that makes ANOVA necessary.

Question: Define the analysis of variance (ANOVA) and describe its relationship to the tt-test, highlighting the specific limitation of the tt-test that makes ANOVA necessary.

Sample answer: The analysis of variance (ANOVA) is a null hypothesis test used to compare the means of more than two groups or conditions. It serves as a necessary extension of the tt-test, which is strictly limited to evaluating differences between exactly two means (such as a single sample mean against a population mean, or the means of two distinct groups).

Key points:

  • ANOVA is a null hypothesis test used to compare the means of more than two groups or conditions.
  • The tt-test is strictly limited to evaluating differences between exactly two means.
  • ANOVA acts as a necessary extension of the tt-test for comparisons involving more than two means.

Rubric: The answer must define ANOVA as the most common null hypothesis test for comparing the means of more than two groups/conditions. It must also explain that the tt-test is strictly limited to evaluating differences between exactly two means, making ANOVA a necessary extension.

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Updated 2026-05-26

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Research Methods in Psychology - 4th American Edition @ KPU

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