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Question 5 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.

Question 5 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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Question 5 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=µ+a+B+aß+e • 6. In the equation in #5 above, e tells us how much residual is not explained by the interaction term.
Transcribed Image Text:Question 5 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=µ+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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