We do not reject the null hypothesis in ANOVA testing when p-value

Question 1Answer

a.

True

b.

False

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What is Type II error in hypothesis testing?

Question 2Answer

a.

the decision to reject the null hypothesis when it is true.

b.

the decision to fail to reject the null hypothesis when it is false.

c.

the decision to reject the null hypothesis when it is false.

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What is the Power in hypothesis testing?

Question 3Answer

a.

the decision to reject the null hypothesis when it is true.

b.

the decision to fail to reject the null hypothesis when it is false.

c.

the decision to reject the null hypothesis when it is false.

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Given the output below, we reject the null hypothesis.

Question 4Select one:

True

False

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What is true about the F-Statistics?

Question 5Answer

a.

F = MSG/MSE

b.

the degree of freedom for the numerator (MSG) is k-1, where k is the number of groups.

c.

the degree of freedom for the numerator (MSE) is n-k, where n is the number of observations

d.

all the above

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The independence assumption can be relaxed when the total sample size is large.

Question 6Answer

a.

True

b.

False

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What is Type I error in hypothesis testing?

Question 7Answer

a.

the decision to reject the null hypothesis when it is true.

b.

the decision to fail to reject the null hypothesis when it is false.

c.

the decision to reject the null hypothesis when it is false.

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What is NOT a condition to check for an ANOVA analysis?

Question 8Answer

a.

dependence

b.

independence

c.

approximately normal.

d.

constant variance.

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As the total sample size increases, the degree of freedom for the residuals increases as well.

Question 9Answer

a.

True

b.

False

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As the number of groups increases, the modified significance level for pairwise tests increases as well.

Question 10Answer

a.

True

b.

False