1. Psychology 302, Quantitative Methods Francis Marion University Quiz, Sampling Distributions

2. 1.According to ______ the larger the sample, the closer the sample mean is to the population mean. (p. 251) A.Murphy’s law B.the law of large numbers C.the Hildreth Principle D.Simpson’s Paradox E.null hypothesis

3. 1.According to ______ the larger the sample, the closer the sample mean is to the population mean. (p. 251) A.Murphy’s law B.the law of large numbers C.the Hildreth Principle D.Simpson’s Paradox E.null hypothesis

4. 2. A property of the population is called a: (p. 250) A.parameter B.polarity C.pooled estimator D.Probability distribution E.Correlation

5. 2. A property of the population is called a: (p. 250) A.parameter B.polarity C.pooled estimator D.Probability distribution E.Correlation

6. 3.We do inferential statistics because the ____ is unknown. (p. 250) A.parameter B.polarity C.pooled estimator D.Probability distribution E.skewness

7. 3.We do inferential statistics because the ____ is unknown. (p. 250) A.parameter B.polarity C.pooled estimator D.Probability distribution E.skewness

8. 4.The population mean is represented as: A.σ B.M C.PM D.μ E.Σ

9. 4.The population mean is represented as: A.σ B.M C.PM D.μ E.Σ

10. 5.A sampling distribution is like a frequency distribution except that it consists of: (p. 255) A.statistics B.parameters C.means D.slopes E.ANOVA’s

11. 5.A sampling distribution is like a frequency distribution except that it consists of: (p. 255) A.statistics B.parameters C.means D.slopes E.ANOVA’s

12. 6.The mean of a sampling distribution is equal to the mean of the sample and the standard deviation of the sampling distribution is equal to: (p. 256) A.the standard deviation of the sample B.the square root of the sample C.the standard deviation of the sample divided by the square root of n D.the harmonic mean E.all of the above

13. 6.The mean of a sampling distribution is equal to the mean of the sample and the standard deviation of the sampling distribution is equal to: (p. 256) A.the standard deviation of the sample B.the square root of the sample C.the standard deviation of the sample divided by the square root of n D.the harmonic mean E.all of the above

14. 7. According to the Central Limit Theorem: (p. 259) A.the mean of the sample equals the standard deviation B.the standard deviation cannot be calculated C.when n is large the sampling distribution is normal D.when n is small the sampling distribution is normal E.the standard deviation is used to measure the center

15. 7. According to the Central Limit Theorem: (p. 259) A.the mean of the sample equals the standard deviation B.the standard deviation cannot be calculated C.when n is large the sampling distribution is normal D.when n is small the sampling distribution is normal E.the standard deviation is used to measure the center

16. 8. According to the Central Limit Theorem: (p. 259) A.the sampling distribution is normal even if the population is not B.the sampling distribution can be normal only if the population is normal C.the population mean measures the population variance D.the mean always equals the standard deviation

17. 8. According to the Central Limit Theorem: (p. 259) A.the sampling distribution is normal even if the population is not B.the sampling distribution can be normal only if the population is normal C.the population mean measures the population variance D.the mean always equals the standard deviation

18. 9.For the sample means, the distribution is ______ the raw score means. (p. 257) A.less spread out than B.more spread out than C.the same as D.all of the above

19. 9.For the sample means, the distribution is ______ the raw score means. (p. 257) A.less spread out than B.more spread out than C.the same as D.all of the above

20. 10. Averages are ____ than individual differences. A.more variable than B.the same as C.less variable than D.all of the above E.none of the above

21. 10. Averages are ____ than individual differences. A.more variable than B.the same as C.less variable than D.all of the above E.none of the above

22. Bonus question: The standard deviation of the sampling distribution is called: A.The hypotenuse B.The level of significance C.The Range D.The standard error E.The correlation coefficient

23. Bonus question: The standard deviation of the sampling distribution is called: A.The hypotenuse B.The level of significance C.The Range D.The standard error E.The correlation coefficient

24. The End

25. A.1-b. 2-a, 3-a, 4-d, 5-a,6-c, 7-c, 8-a, 9-a, 10-c