For each question, enter T for true or F for false. • 1. The purpose of Two-Way ANOVA is to examine the independent effects of two factors/treatments on a dependent variable and the effect on the dependent variable of the interaction between the two factors. • 2. Two assumptions are required to justify using Two-Way ANOVA. They are: A. the sample values in each cell are randomly selected from a normal population, B. the sample variances are equal. • 3. Three indices are used in Two-Way ANOVA. They are a, b, and r. The r stands for the number of replications in each Treatment A, Treatment B cell. • 4. In a balanced Two-Way ANOVA r = 2 replications in each cell. • 5. For Two-Way ANOVA, ignoring subscripts, the linear model is x-u+a+B+aß+e • 6. In the equation in #5 above, e tells us how much residual is not explained by the interaction term.

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A: Given information:

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