LECTURE NOTES - Week 9

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10 Terms

1
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What is One-Way ANOVA used for?

To compare the means of more than two groups.

2
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What is the null hypothesis (H0) in ANOVA?

There is no difference between any of the groups' means.

3
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What does the alternative hypothesis in ANOVA propose?

That there is a difference between some of the groups.

4
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What are the assumptions of ANOVA?

Normal distribution of values, homogeneity of variance, and independent measures.

5
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What does 'Homogeneity of variance' mean in the context of ANOVA?

The variance of scores for each group is approximately the same.

6
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Define 'Mean Square Error (MSE)' in ANOVA.

An estimate of population variance based on the variance within each group.

7
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What does a high F-ratio in ANOVA suggest?

There is more variance between the groups than within the groups, suggesting the null hypothesis is false.

8
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What is the purpose of post-hoc tests in ANOVA?

To determine which specific groups differ from each other after finding a significant effect.

9
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What is the Bonferroni correction?

A method used to adjust the significance level when conducting multiple comparisons to control the familywise error rate.

10
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What does effect size measure in ANOVA?

The proportion of variance in the dependent variable that is explained by the independent variable.