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

1. Psychology 302, Quantitative MethodsFrancis 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) • Murphy’s law • the law of large numbers • the Hildreth Principle • Simpson’s Paradox • null hypothesis

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

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

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

6. 3. We do inferential statistics because the ____ is unknown. (p. 250) • parameter • polarity • pooled estimator • Probability distribution • skewness

7. 3. We do inferential statistics because the ____ is unknown. (p. 250) • parameter • polarity • pooled estimator • Probability distribution • skewness

8. 4. The population mean is represented as: • σ • M • PM • μ • Σ

9. 4. The population mean is represented as: • σ • M • PM • μ • Σ

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

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

12. 6. Probability is a matter of: • the standard deviation of the sample • the square root of the sample • Relative frequency • the harmonic mean • all of the above

13. 6. Probability is a matter of: • the standard deviation of the sample • the square root of the sample • Relative frequency • the harmonic mean • all of the above

14. 6. Probability is a matter of: • the standard deviation of the sample • the square root of the sample • the standard deviation of the sample divided by the square root of n • the harmonic mean • all of the above

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

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

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

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

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

20. 9. For the sample means, the distribution is ______ the raw score means. (p. 257) • less spread out than • more spread out than • the same as • all of the above

21. 10. Averages are ____ than individual differences. • more variable than • the same as • less variable than • all of the above • none of the above

22. 10. Averages are ____ than individual differences. • more variable than • the same as • less variable than • all of the above • none of the above

23. Bonus question: The standard deviation of the sampling distribution is called: • The hypotenuse • The level of significance • The Range • The standard error • The correlation coefficient

24. Bonus question: The standard deviation of the sampling distribution is called: • The hypotenuse • The level of significance • The Range • The standard error • The correlation coefficient

25. The End