For each question, enter T for true or F for false. • 1. The purpose of Randomized Block Design ANOVA is to check if the alternative hypothesis is true. • 2. Three assumptions are required to justify using Randomized Block Design ANOVA. They are: A. the sample in each cell is selected randomly from a normal population, B. the variances in the treatment groups are equal, C. there is no interaction between blocks and treatments. • 3. For Randomized Block Design ANOVA, ignoring subscripts, the linear model is x-+B+T+e

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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Question 3
For each question, enter T for true or F for false.
• 1. The purpose of Randomized Block Design ANOVA is to check if the alternative
hypothesis is true.
• 2. Three assumptions are required to justify using Randomized Block Design ANOVA.
They are: A. the sample in each cell is selected randomly from a normal population, B.
the variances in the treatment groups are equal, C. there is no interaction between
blocks and treatments.
• 3. For Randomized Block Design ANOVA, ignoring subscripts, the linear model is
x=u+B+T+e
• 4. In the equation in #3 above, B is the blocking effect and u is the sample average.
Transcribed Image Text:Question 3 For each question, enter T for true or F for false. • 1. The purpose of Randomized Block Design ANOVA is to check if the alternative hypothesis is true. • 2. Three assumptions are required to justify using Randomized Block Design ANOVA. They are: A. the sample in each cell is selected randomly from a normal population, B. the variances in the treatment groups are equal, C. there is no interaction between blocks and treatments. • 3. For Randomized Block Design ANOVA, ignoring subscripts, the linear model is x=u+B+T+e • 4. In the equation in #3 above, B is the blocking effect and u is the sample average.
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