Question 1(3 points)

Degrees of freedom for ANOVA is the same as for independent samples t-test

Question 1 options:

	True
	False

Question 2(3 points)

In ANOVA, sum of squares is very similar to variance except

Question 2 options:

	it uses standard error instead
	it is not scaled to sample size
	it squares the quantity as a final step
	it is an omnibus test

Question 3(3 points)

You are interested in determining if there is a mean difference between people from Canada, Zimbabwe, and Germany. Which of the following would be the best to run?

Question 3 options:

	ANOVA
	t-test
	confidence interval
	Correlation

Question 4(3 points)

You are interested in seeing if there is a mean difference between number off hours spent watching baseball for Yankees fans and Red Sox fans. You would most likely want to run which test?

Question 4 options:

	ANOVA
	Dependent (paired) samples t-test
	Independent samples t-test
	Correlation

Question 5(3 points)

ANOVA is an omnibus test

Question 5 options:

	True
	False

Question 6(4 points)

As sample size increases, t-tests are more likely to be....

Question 6 options:

	It doesn't influence the statistic
	Significant
	Nonsignificant
	Effective

Question 7(4 points)

t-test 1: mean difference = 12

t-test 2: mean difference = 20

t-test 2 could be nonsignificant while t-test 1 could be significant

Question 7 options:

	True
	False

Question 8(4 points)

The larger thet-statistic, the less likely it is to be significant

Question 8 options:

	True
	False

Question 9(3 points)

If our sample size is _____, we often turn to the t-distribution

Question 9 options:

	large
	unknown
	skewed
	Small