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Quantitative Methods PSY302 Quiz Chapter Six Confidence Intervals 1. We can’t assume that the sample mean will equal the population mean because of _____. (104) A. B. C. D. E. skewness outliers in the data sampling error confirmation bias anhedonia 1. We can’t assume that the sample mean will equal the population mean because of _____. (104) A. B. C. D. E. skewness outliers in the data sampling error confirmation bias anhedonia 2. What is a confidence interval for the mean? It is a(n) _________within which the true mean of the population is believed to exist. (105) A. B. C. D. E. standard deviation non random sample research design or meta-analysis frequency distribution range of values 2. What is a confidence interval for the mean? It is a(n) _________within which the true mean of the population is believed to exist. (105) A. B. C. D. E. standard deviation non random sample research design or meta-analysis frequency distribution range of values 3. A ____ is a point along the baseline of the normal curve that is expressed in standard deviation units. (107) A. B. C. D. E. distribution of critical values Z value confidence interval categorical variable sum of squares 3. A ____ is a point along the baseline of the normal curve that is expressed in standard deviation units. (107) A. B. C. D. E. distribution of critical values Z value confidence interval categorical variable sum of squares 4. To calculate a confidence interval we need to:(106) A. B. C. D. E. add something to the mean subtract something from the mean know the true value of the parameter a&b all of the above 4. To calculate a confidence interval we need to:(106) A. B. C. D. E. add something to the mean subtract something from the mean know the true value of the parameter a&b all of the above 5. In a distribution with a mean of 40 and a standard deviation of 5 what values would encompass approximately 95% of the scores? A. B. C. D. E. 35-45 30-50 25-55 40-95 all of the above 5. In a distribution with a mean of 40 and a standard deviation of 5 what values would encompass approximately 95% of the scores? A. B. C. D. E. 35-45 30-50 25-55 40-95 all of the above 6. We use the symbol ____ to represent the sample size. (111) A. B. C. D. E. μ b σ n s 6. We use the symbol ____ to represent the sample size. (111) A. B. C. D. E. μ b σ n s 7. As n increases the standard error: (111) A. B. C. D. E. remains the same increases decreases doubles turns to zero 7. As n increases the standard error: (111) A. B. C. D. E. remains the same increases decreases doubles turns to zero 8. When you divided the standard deviation of the population by the square root of n (the sample size) you have the: A. B. C. D. E. standard error mean correlation coefficient confidence interval sum of squares 8. When you divided the standard deviation of the population by the square root of n (the sample size) you have the: A. B. C. D. E. standard error mean correlation coefficient confidence interval sum of squares 9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115) A. B. C. D. E. never always 99% of the time 95% of the time On president’s day 9. A 95% confidence interval is constructed so that it will capture the true mean of the population: (115) A. B. C. D. E. never always 99% of the time 95% of the time On president’s day 10. When calculating a confidence interval and the standard deviation of the population is unknown you have to: A. guess B. calculate the sum of squares C. estimate the value of the population standard deviation. D. sacrifice a gray squirrel to the gods E. change your data to categorical variables and use chi square 10. When calculating a confidence interval and the standard deviation of the population is unknown you have to: A. guess B. calculate the sum of squares C. estimate the value of the population standard deviation. D. sacrifice a gray squirrel to the gods E. change your data to categorical variables and use chi square The End A. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. c c b d b d c a d c