Chi-Square and ANOVA

1. Values you would expect to see if the null hypothesis were true (8, 11)
7. Studies the effect of one factor at various levels on a response variable (3, 3, 5)
8. Values we actually obtained (8, 9)

2. Replacing categories with numbers (7)
3. Patterns that use categories instead of numbers (11, 4)
4. Each observed person/ case must appear in only one of the frequency cells (6, 11)
5. Studies the impact of two or more factors and their interactions at various levels on a response variable (8, 5)
6. A design where a participant contributes to more than one data point (8, 8)
9. Studies the effect of two factors and their interactions at various levels on a response variable (3, 3, 5)

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