Question 1: How does increasing sample size affect the estimate of the population variance?

Question 2: Using the same study described in Question 2 with alpha = .01, what is the decision if the following values for the test statistic are obtained?

(a) 2.558

(b) 1.602

(c) 2.999

(d) -3.404

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Question 3: What is the calculation for the degrees of freedom of a t distribution?

Question 4: A researcher compares the mean grade point average (GPA) of college students with a full-time job to the mean GPA of the general population of college students. In this example, identify

(a) the dependent variable

(b) the treatment

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Question 5: A researcher notes that the null hypothesis of es017-1.jpg = 6 is not contained within the 95% confidence interval. Based on this result, would the decision have been to retain or reject the null hypothesis using hypothesis testing?

Question 6: A researcher measures M = 3.406 and SD = 4.0 in one sample of 16 participants. What is the 95% CI (confidence interval) for these data using the estimation formula for a one-sample t test?

Question 7: What is the main limitation of the z test in behavioral research?

Question 8: State whether each of the following values for estimated Cohen's d has a small, medium, or large effect size.

(a) 0.40

(b) 1.20

(c) 0.05

(d) 0.10

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Question 9: A researcher reports that a sample of workers with high-stress careers slept significantly less than workers in the general population, t(48) = 2.36, p < .05. Compute eta-squared for this one-sample t test.

Question 10: What are the degrees of freedom for each of the following samples?

**enter only the value of the answer**

(a) n = 12

(b) n = 22

(c) n = 5

(d) n = 30

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Question 11: An estimated Cohen's d substitutes which value in the formula to estimate the population standard deviation?

Question 12: The __________________ is a normal-like distribution with greater variability in the tails than a normal distribution because the sample variance is substituted for the population variance to estimate the standard error in this distribution.

Question 13: What are three assumptions of the one-sample t test?

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Question 14: Assuming alpha = .05, what is the critical value in each of the following t distributions?

**enter only the value including +/- or - when needed**

(a) df = 10, two-tailed test

(b) df = 30, one-tailed test (lower-tail critical)

(c) df = infinity, two-tailed test

(d) df = 15, one-tailed test (upper-tail critical)

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Question 15: What measure, eta-squared or omega-squared, gives a more conservative or smaller estimate of proportion of variance?

Question 16: State the estimation formula for a one-sample t test.

Question 17: Researchers record the number of errors on some behavioral task for 15 participants. They report a sample mean equal to 6 1 (M SD). What is the critical value for a two-tailed test with alpha = .01?

**enter only the value including the +/- or - when needed**