QUESTION 1

A common convention in social science is to set the alpha level at .05 and to reject the null hypothesis if the observed significance level is less than the alpha level, p < .05. Which of the following is correct?

a.

If p = .041, do not reject the null hypothesis

b.

If p = .074, reject the null hypothesis

c.

If p = .000, reject the null hypothesis

d.

If p = .952, reject the null hypothesis

QUESTION 2

A Type I error is when you incorrectly reject the null hypothesis of no difference or no correlation in a population based on the results found in a sample. The alpha level controls the rate of Type I errors. If alpha is set at .05, which of the following is correct?

a.

The probability that there is no difference or no correlation in the population is 5%.

b.

The probability that there is a difference or correlation in the population is 5%.

c.

The probability of incorrectly rejecting the null hypothesis from the results of a sample, if the null hypothesis in the population is true, is 5%.

d.

The probability of correctly rejecting the null hypothesis from the results of a sample, if the null hypothesis in the population is true, is 5%.

QUESTION 3

A confidence interval is a range of population values estimated from the results of a sample. Froma random sample of 100 graduate students at Walden, suppose you calculate the average age to be 37 plus or minus 11, which would make the lower limit of the confidence interval 26 (i.e., 37 - 11 = 26) and the upper limit 48 (i.e., 37 + 11 = 48). If this was a 95% confidence interval, which of the following is correct?

a.

There is a5% probability that the true average age of Walden graduate students is between 26 and 48

b.

95%ofallWalden graduate studentsare between 26 and 48 years of age

c.

The true average age of Walden graduate students could be less than 26 or greater than 48

d.

A 99% confidence interval would be narrower, for example between 32 and 42

QUESTION 4

A 95% confidence interval of -1.34 to 2.56 was estimated from the sample data on the mean difference between males and females on statistics anxiety. Which of the following is a true statement?

a.

The mean difference between males and females is statistically significantly different at the .05 alpha level

b.

The mean difference between males and females is NOT statistically significantly different at the .05 alpha level

c.

95% of all male and female scores on statistics anxiety were between -1.34 to 2.56

d.

The power of the study was 5%

QUESTION 5

Incorrectly acceptingthe null hypothesis of no difference or no correlation in a population based on the results found in a sampleis...

a.

a Type I error

b.

a Type II error

c.

a Type IIIerror

d.

a Type IV error

QUESTION 6

Scenario:

A purposive sample of psychology graduate students finishing up their dissertation at one online university (n = 80), one public brick-and-mortar university (n = 35), and one private brick-and-mortar university (n= 20) rated overall satisfaction with their dissertation chair using a scale of 0 (completely dissatisfied) to 100 (completely satisfied). Each university had 100 students finishing up their dissertation.

The mean satisfaction ratings were: online = 87.5, public brick-and-mortar = 82.7, private brick-and-mortar = 90.3. The standard deviations were equal. Which of the following pairwise comparisons of mean ratingswould have the largest effect size?

a.

Public versus private

b.

Public versus online

c.

Online versus private

d.

The effect size of each pairwise comparison would be equal

QUESTION 7

If an independent samplesttest was conducted between any two of the three types of universities, which of the followingwould be most appropriate effect size?

a.

Multiple-R2

b.

Cohen'sw

c.

Cohen'sd

d.

Likelihood ratio

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