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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) A. B. C. D. E. Murphy’s law the law of large numbers the Hildreth Principle Simpson’s Paradox null hypothesis 1. According to ______ the larger the sample, the closer the sample mean is to the population mean. (p. 251) A. B. C. D. E. Murphy’s law the law of large numbers the Hildreth Principle Simpson’s Paradox null hypothesis 2. A property of the population is called a: (p. 250) A. B. C. D. E. parameter polarity pooled estimator Probability distribution Correlation 2. A property of the population is called a: (p. 250) A. B. C. D. E. parameter polarity pooled estimator Probability distribution Correlation 3. A. B. C. D. E. We do inferential statistics because the ____ is unknown. (p. 250) parameter polarity pooled estimator Probability distribution skewness 3. A. B. C. D. E. We do inferential statistics because the ____ is unknown. (p. 250) parameter polarity pooled estimator Probability distribution skewness 4. A. B. C. D. E. σ M PM μ Σ The population mean is represented as: 4. A. B. C. D. E. σ M PM μ Σ The population mean is represented as: 5. A sampling distribution is like a frequency distribution except that it consists of: (p. 255) A. B. C. D. E. statistics parameters means slopes ANOVA’s 5. A sampling distribution is like a frequency distribution except that it consists of: (p. 255) A. B. C. D. E. statistics parameters means slopes ANOVA’s 6. A. B. C. D. E. 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 6. A. B. C. D. E. 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 6. Probability is a matter of: 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 X X / N 7. According to the Central Limit Theorem: (p. 259) A. B. C. D. E. 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 7. According to the Central Limit Theorem: (p. 259) A. B. C. D. E. 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 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 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 9. A. B. C. D. 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 9. A. B. C. D. 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 10. Averages are ____ than individual differences. A. B. C. D. E. more variable than the same as less variable than all of the above none of the above 10. Averages are ____ than individual differences. A. B. C. D. E. more variable than the same as less variable than all of the above none of the above Bonus question: The standard deviation of the sampling distribution is called: A. B. C. D. E. The hypotenuse The level of significance The Range The standard error The correlation coefficient 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 X X / N The End