QUESTION 1 In an ANOVA,what are the degrees of freedom for the following output:ANOVA Source of VariationSSdfMSFP-valueF critBetween Groups71.64921235.82462.5037160.1152793.68232Within Groups214.6286

Question Completion Status:

QUESTION 1

5 points

QUESTION 2

Males and females were compared for the mean number of smiles during a five-minute interview. The 30 males' mean was 3.62 and the 24 females' mean was 5.04. An α level of .05 was adopted and an F = 4.02 was obtained. What conclusion is appropriate?

		males smile more than females
		females smile more than males
		the null hypothesis should be retained
		none of the choices are correct

5 points

QUESTION 3

		neither choice is correct
		both choices are correct
		populations that do not have the same mean
		paired-samples design;

5 points

QUESTION 4

		one or more of the groups was drawn from a different population;
		none of the groups were drawn from the same population;
		any of the other alternatives, depending on how many levels of the independent variable there are.
		all the groups are drawn from the same population;

5 points

QUESTION 5

When the F value in the F table is smaller than the F value calculated from the data

		reject the null hypothesis;
		none of the choices are correct
		retain the null hypothesis;
		reject or retain the null hypothesis, depending on how far apart the group means are;

5 points

QUESTION 6

A researcher conducted a paired sample t-test to determine if advertisements were viewed more in the morning (before noon) or in the evening (after 5pm) for eight different universities. The results were as follows:

	Morning	Evening
	Morning	Evening
Mean	32	40.625
Variance	89.71428571	504.5536
Observations
Pearson Correlation	0.343785438
Hypothesized Mean Difference
df
t Stat	-1.152587077
P(T<=t) one-tail	0.143458126
t Critical one-tail	1.894578605
P(T<=t) two-tail	0.286916252
t Critical two-tail	2.364624252

Is there a significant difference between morning and evening access to the university advertisements?

		Yes, there was a significant difference between Morning (M= 32), and Evening (M=40.625), (t [7] = 1.15 p < .05).
		No, there was no difference between Morning (M= 32), and Evening (M=40.625), (t [7] = 1.15, p < .05).
		No, there was no difference between Morning (M= 32), and Evening (M=40.625), (t [7] = 1.15, p > .05).
		Yes, there was a significant difference between Morning (M= 32), and Evening (M=40.625), (t [7] = .28, p < .05).

5 points

QUESTION 7

		the results are significant
		neither choice is significant
		the null hypothesis should be rejected
		both choices are correct

5 points

QUESTION 8

In an independent samples design, the Dog's mean was 54.0 and the Cat's mean was 53.9. Larger scores are better. A t value of 2.50 was calculated and an α level of .05 adopted. Which conclusion is appropriate with a 2-tailed test?

		If df = 5, Dogs are significantly better than Cats
		If df = 9, Dogs are not significantly different from Cats
		If df = 10, Dogs are significantly better than Cats
		If df = 4, Cats are significantly better than Dogs

5 points

QUESTION 9

		none of the choices are correct
		the results should be declared "not significant";
		both choices are correct
		should be attributed to chance rather than to the independent variable

5 points

QUESTION 10

With an acknowledgment to Sesame Street, "Which of these things is not like the others, which of these things doesn't belong?"

5 points

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