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Questions and Answers
What is the purpose of using the Scheffé adjustment for multiple comparisons?
What is the purpose of using the Scheffé adjustment for multiple comparisons?
- To increase the power of each contrast
- To control the family-wise error rate (correct)
- To simplify the calculation of the test statistics
- To decrease the p-value of each contrast
How does the Scheffé adjustment affect the p-value of each contrast?
How does the Scheffé adjustment affect the p-value of each contrast?
- It increases the p-value (correct)
- It decreases the p-value
- It makes it impossible to calculate the p-value
- It has no effect on the p-value
What is the key assumption made when applying the Scheffé adjustment?
What is the key assumption made when applying the Scheffé adjustment?
- Independence of data points
- Normal distribution of data
- Homoscedasticity of residuals
- Performing all possible contrasts (correct)
Which method controls the family-wise error rate in multiple comparisons?
Which method controls the family-wise error rate in multiple comparisons?
In Example 5.3.1, how did the contrasts tested differ from those tested in examples 4.2.1 and 4.2.2?
In Example 5.3.1, how did the contrasts tested differ from those tested in examples 4.2.1 and 4.2.2?
When using the Scheffé adjustment, what change is made to the degrees of freedom for calculating test statistics?
When using the Scheffé adjustment, what change is made to the degrees of freedom for calculating test statistics?
What is the primary purpose of starter bacteria in cheese production?
What is the primary purpose of starter bacteria in cheese production?
Which bacteria were not intentionally added during the cheese production process?
Which bacteria were not intentionally added during the cheese production process?
How many cheeses were made with standard starter bacteria only?
How many cheeses were made with standard starter bacteria only?
Which of the following treatments was NOT included in the experiment?
Which of the following treatments was NOT included in the experiment?
What is the primary reason for studying the effects of nonstarter bacteria on cheese quality?
What is the primary reason for studying the effects of nonstarter bacteria on cheese quality?
How many cheeses were made with both strains A and B?
How many cheeses were made with both strains A and B?
What is the purpose of Dunnett's method?
What is the purpose of Dunnett's method?
Which function from the DescTools package can be used to perform Dunnett's method?
Which function from the DescTools package can be used to perform Dunnett's method?
In the example code DunnettTest(freeAminoAcid ~ strain, data = CheeseAminoAcid, control = "none"), what does the control = "none" argument specify?
In the example code DunnettTest(freeAminoAcid ~ strain, data = CheeseAminoAcid, control = "none"), what does the control = "none" argument specify?
Based on the output, which bacteria group(s) are significantly different from the control group ("none") with respect to the mean total free amino acids?
Based on the output, which bacteria group(s) are significantly different from the control group ("none") with respect to the mean total free amino acids?
What does the lwr.ci column in the output represent?
What does the lwr.ci column in the output represent?
What is the purpose of the Multiple Comparisons with the Best (MCB) method?
What is the purpose of the Multiple Comparisons with the Best (MCB) method?
What is the purpose of the rbind() function in the code snippet?
What is the purpose of the rbind() function in the code snippet?
Which of the following statements about the use of Fisher's LSD method on the RatLiverWeight data is correct?
Which of the following statements about the use of Fisher's LSD method on the RatLiverWeight data is correct?
What is the purpose of the pf() function call in the code snippet?
What is the purpose of the pf() function call in the code snippet?
What is the family-wise error rate?
What is the family-wise error rate?
In the Bonferroni method, how is the adjusted p-value for each test calculated?
In the Bonferroni method, how is the adjusted p-value for each test calculated?
In the Holm method, which p-value is compared to $\alpha/K$ first?
In the Holm method, which p-value is compared to $\alpha/K$ first?
If the Bonferroni method is used to adjust for multiple comparisons, what happens to the family-wise error rate?
If the Bonferroni method is used to adjust for multiple comparisons, what happens to the family-wise error rate?
Which statement about the Holm method is true?
Which statement about the Holm method is true?
In Example 5.2.1, if the Bonferroni adjustment is used with $\alpha = 0.05$, how many contrasts would be considered significant?
In Example 5.2.1, if the Bonferroni adjustment is used with $\alpha = 0.05$, how many contrasts would be considered significant?
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