Part TWO ____ 1. What symbol is used to identify the standard error of M? a. M c. b. d. MM ____ 2. A random sample of n = 60 scores is selected from a population. Which of the following distributions definitely will be normal? The scores in the sample will form a normal distribution. The scores in the population will form a normal distribution. The distribution of sample means will form a normal distribution. The sample, the population, and the distribution of sample means definitely will not be normal. a. b. c. d. ____ 3. Samples of size n = 9 are selected from a population with = 80 with = 18. What is the expected value for the distribution of sample means? a. 6 c. 80/3 b. 18 d. 80 ____ 4. If random samples, each with n = 4 scores, are selected from a normal population with = 80 and = 36, what is the standard error for the distribution of sample means? a. 4 c. 18 b. 9 d. 36 ____ 5. For a particular population, a sample of n = 4 scores has an expected value of 10. For the same population, a sample of n = 25 scores would have an expected value of _____. c. 10 d. 20 a. 4 b. 8 ____ 6. A sample of n = 16 scores has a standard error of 4. What is the standard deviation of the population from which the sample was obtained? c. 4 d. 2 a. 64 b. 16 ____ 7. A sample of n = 4 scores has a standard error of 10 points. For the same population, what is the standard error for a sample of n = 16 scores? a. 1 b. 2.5 ____ c. 5 d. 10 8. A random sample of n = 4 scores is obtained from a population with a mean of = 80 and a standard deviation of = 10. If the sample mean is M = 90, what is the z-score for the sample mean? a. z = 20.00 c. z = 2.00 b. z = 5.00 d. z = 1.00 ____ 9. A sample of n = 4 scores is selected from a population with = 50 and = 12. If the sample mean is M = 56, what is the z-score for this sample mean? c. 2.00 d. 4.00 a. 0.50 b. 1.00 ____ 10. For a normal population with a mean of = 80 and a standard deviation of = 10, what is the probability of obtaining a sample mean greater than M = 75 for a sample of n = 25 scores? c. p = 0.3085 d. p = 0.6915 a. p = 0.0062 b. p = 0.9938 ____ 11. A sample of n = 16 scores is obtained from a population with = 50 and = 16. If the sample mean is M = 54, then what is the z-score for the sample mean? c. z = 0.50 d. z = 0.25 a. z = 4.00 b. z = 1.00 ____ 12. If a sample of n = 4 scores is obtained from a population with = 70 and = 12, what is the z- score corresponding to a sample mean of M = 73? a. z = 0.25 c. z = 1.00 b. z = 0.50 d. z = 2.00 ____ 13. A sample from a population with = 40 and = 8 has a mean of M = 36. If the sample mean corresponds to a z = -1.00, then how many scores are in the sample? c. n = 8 d. n = 4 a. n = 64 b. n = 16 ____ 14. A random sample of n = 16 scores is obtained from a population with = 12. If the sample mean is 6 points greater than the population mean, what is the z-score for the sample mean? a. +6.00 b. +2.00 c. +1.00 d. Cannot be determined without knowing the population mean ____ 15. A random sample of n = 9 scores is obtained from a normal population with = 40 and = 18. What is the probability that the sample mean will be greater than M = 43? c. 0.1587 d. 0.0228 a. 0.4325 b. 0.3085 ____ 16. A sample of n = 16 scores is selected from a population with = 100 and = 32. If the sample mean is M = 104, what is the z-score for this sample mean? c. 0.50 d. 0.25 a. 2.00 b. 1.00 ____ 17. A sample of n = 4 scores is selected from a normal population with a mean of = 50 and a standard deviation of = 20. What is the probability of obtaining a sample mean greater than M = 48? a. p = 0.6554 c. p = 0.5793 b. p = 0.3446 d. p = 0.4207 ____ 18. A random sample of n = 9 scores is selected from a normal distribution with = 80 and = 12. What is the probability that the sample mean will be between 76 and 84? c. 0.3830 d. 0.2586 a. 0.9974 b. 0.6426 ____ 19. Which combination of factors will produce the largest value for the standard error? a. A large sample and a large standard deviation b. A small sample and a large standard deviation c. A large sample and a small standard deviation d. A small sample and a small standard deviation ____ 20. A sample is selected from a population with a mean of = 40. If the sample mean is M = 45, which of the following combinations would make the sample mean an extreme, unrepresentative value for the population? a. A small sample and a small population standard deviation b. A small sample and a large population standard deviation c. A large sample and a small population standard deviation d. A large sample and a large population standard deviation