Question 1 For each question, enter T for true or F for false. • 1. The purpose of ANOVA is to check if MSE and MSTR are the same. • 2. Three assumptions are required to justify using One-VWay ANOVA. They

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Question 1
For each question, enter T for true or F for false.
• 1. The purpose of ANOVA is to check if MSE and MSTR are the same.
• 2. Three assumptions are required to justify using One-Way ANOVA. They are: A. the
means are equal. B. the population follows the F-distribution and C. the samples were
randomly taken.
• 3. The square root of MSE has a special name in ANOVA. It is called the pooled
variance.
• 4. For One-Way ANOVA, ignoring subscripts, the linear model is
x=µ+t+E
. 5. In the equation in #4 above, e is the random error and µ is the grand average for the
population.
Transcribed Image Text:Question 1 For each question, enter T for true or F for false. • 1. The purpose of ANOVA is to check if MSE and MSTR are the same. • 2. Three assumptions are required to justify using One-Way ANOVA. They are: A. the means are equal. B. the population follows the F-distribution and C. the samples were randomly taken. • 3. The square root of MSE has a special name in ANOVA. It is called the pooled variance. • 4. For One-Way ANOVA, ignoring subscripts, the linear model is x=µ+t+E . 5. In the equation in #4 above, e is the random error and µ is the grand average for the population.
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