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

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

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

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  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. 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) • 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

  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) • 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

  14. 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

  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. 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

  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. 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

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

  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. The End

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

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