1. A population has a mean of 50 and a standard deviation of 6. (a) What are the mean and standard deviation of the sampling distribution of the mean for N = 16? (b) What are the mean and standard deviation of the sampling distribution of the mean for N = 20? (relevant section)

2. Given a test that is normally distributed with a mean of 100 and a standard
deviation of 12, find:

(a) the probability that a single score drawn at random will be greater than 110 (relevant section)
(b) the probability that a sample of 25 scores will have a mean greater than 105 (relevant section)
(c) the probability that a sample of 64 scores will have a mean greater than 105 (relevant section)
(d) the probability that the mean of a sample of 16 scores will be either less than 95 or greater than 105 (relevant section)

3. What term refers to the standard deviation of the sampling distribution? (relevant section)

4. (a) If the standard error of the mean is 10 for N = 12, what is the standard error
of the mean for N = 22?
(b) If the standard error of the mean is 50 for N = 25, what is it for N = 64? (relevant section)

5. A questionnaire is developed to assess women's and men's attitudes toward using
animals in research. One question asks whether animal research is wrong and is
answered on a 7-point scale. Assume that in the population, the mean for women is 5,
the mean for men is 4, and the standard deviation for both groups is
1.5. Assume the scores are normally distributed. If 12 women and 12 men are
selected randomly, what is the probability that the mean of the women will be
more than 1.5 points higher than the mean of the men? (relevant section)

6. If the correlation between reading achievement and math achievement in the
population of fifth graders were 0.60, what would be the probability that in a
sample of 28 students, the sample correlation coefficient would be greater than
0.65? (relevant section)

7. If numerous samples of N = 15 are taken from a uniform distribution and a
relative frequency distribution of the means is drawn, what would be the shape of
the frequency distribution? (relevant section & relevant section)

8. A normal distribution has a mean of 20 and a standard deviation of 10. Two
scores are sampled randomly from the distribution and the second score is
subtracted from the first. What is the probability that the difference score
will be greater than 5? Hint: Read the Variance Sum Law section of Chapter 3. (relevant section & relevant section)

9. What is the shape of the sampling distribution of r? In what way does the shape
depend on the size of the population correlation? (relevant section)

10. If you sample one number from a standard normal distribution, what is the
probability it will be 0.5? (relevant section & relevant section)

11. A variable is normally distributed with a mean of 120 and a standard deviation
of 5. Four scores are randomly sampled. What is the probability that the mean of the
four scores is above 127? (relevant section)

12. The correlation between self esteem and extraversion is .30. A sample of 84
is taken. (a) What is the probability that the correlation will be less than 0.10? (b) What is the probability that the correlation will be greater than 0.25? (relevant section)

13. The mean GPA for students in School A is 3.0; the mean GPA for students in School B is 2.8. The standard deviation in both schools is 0.25. The GPAs of both schools are normally distributed. If 9 students are randomly sampled from each school, what is the probability that:

(a) the sample mean for School A will exceed that of School B by 0.5 or more? (relevant section)
(b) the sample mean for School B will be greater than the sample mean for School A? (relevant section)

14. In a city, 70% of the people prefer Candidate A. Suppose 30 people from this city were sampled. (a) What is the mean of the sampling distribution of p? (b) What is the standard error of p? (c) What is the probability that 80% or more of this sample will prefer Candidate A? (d) What is the probability that 45% or more of this sample will prefer some other candidate? (relevant section)

15. When solving problems where you need the sampling distribution of r, what is the reason for converting from r to z'? (relevant section)

16. In the population, the mean SAT score is 1000. Would you be more likely (or equally likely) to get a sample mean of 1200 if you randomly sampled 10 students or if you randomly sampled 30 students? Explain. (relevant section & relevant section)

17. True/false: The standard error of the mean is smaller when N = 20 than when N = 10. (relevant section)

18. True/false: The sampling distribution of r = .8 becomes normal as N increases. (relevant section)

19. True/false: You choose 20 students from the population and calculate the mean of their test scores. You repeat this process 100 times and plot the distribution of the means. In this case, the sample size is 100. (relevant section & relevant section)

20. True/false: In your school, 40% of students watch TV at night. You randomly ask 5 students every day if they watch TV at night. Every day, you would find that 2 of the 5 do watch TV at night. (relevant section & relevant section)

21. True/false: The median has a sampling distribution. (relevant section)

22. True/false: Refer to the figure below. The population distribution is shown in black, and its corresponding sampling distribution of the mean for N = 10 is labeled "A." (relevant section & relevant section)

Questions from Case Studies:

The following questions use data from the Angry Moods (AM) case study.

23. (a) How many men were sampled? (b) How many women were sampled?

24. What is the mean difference between men and women on the Anger-Out scores?

25. Suppose in the population, the Anger-Out score for men is two points higher than it is for women. The population variances for men and women are both 20. Assume the Anger-Out scores for both genders are normally distributed. Given this information about the population parameters:

(a) What is the mean of the sampling distribution of the difference between means? (relevant section)
(b) What is the standard error of the difference between means? (relevant section)
(c) What is the probability that you would have gotten this mean difference (see #24) or less in your sample? (relevant section)

The following questions use data from the Animal Research (AR) case study.

26. How many people were sampled to give their opinions on animal research?

27. (AR#11) What is the correlation in this sample between the belief that animal research is wrong and belief that animal research is necessary? (Ch. 4.E)

28. Suppose the correlation between the belief that animal research is wrong and the belief that animal research is necessary is -.68 in the population.

(a) Convert -.68 to z'. (relevant section)
(b) Find the standard error of this sampling distribution. (relevant section)
(c) In a new sample, what is the probability that you would get the correlation found in the original sample (see #27) or a lower correlation (closer to -1)? (relevant section)