The mean for a sample of n = 4 scores has a standard error ...



1. The mean for a sample of n = 4 scores has a standard error of 5 points. This sample was selected from a population with a standard deviation of s = 20. (Points: 1) True False

False

2. A sample is obtained from a population with s = 12. If the sample mean has a standard error of 3, then the sample size is n = 4. (Points: 1) True False

False

3. A sample mean with a z-score value between –1.00 and +1.00 would be considered a fairly typical, representative sample. (Points: 1) True False

True

4. The mean for a sample of n = 16 scores has an expected value of 50. This sample was selected from a population with a mean of m = 50. (Points: 1) True False

True

5. A researcher obtained M = 27 for a sample of n = 36 scores selected from a population with m = 30 and s = 18. This sample mean corresponds to a z-score of z = –1.00. (Points: 1) True False

True

6. Samples of size n = 4 are selected from a population with m = 80 with s = 8. What is the standard error for the distribution of sample means? (Points: 1) 80 8 4 2

4

7. If random samples, each with n = 9 scores, are selected from a normal population with m = 80 and s = 18, and the mean is calculated for each sample, then the average of all the sample means would be _____. (Points: 1) 2 6 80 cannot be determined without additional information

80

8. As sample size increases, the standard error of M _____. (Points: 1) also increases decreases stays constant

decreases

9. For a normal population with m = 80 and s = 20 which of the following samples is least likely to be obtained? (Points: 1) M greater than 90 for a sample of n = 4 M greater than 85 for a sample of n = 4 M greater than 88 for a sample of n = 25 M greater than 84 for a sample of n = 25

M greater than 88 for a sample of n = 25

10. A normal population has m = 50 and s = 8. A random sample of n = 4 scores from this population has a mean of 54. What is the z-score for this sample mean? (Points: 1) +0.50 +1.00 +2.00 +4.00

+1.00

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