Question: 11. Multiple choice questions. 10. When determining the sample size for a proportion for a given level of confidence and sampling error, the closer
11. Multiple choice questions. 10. When determining the sample size for a proportion for a given level of confidence and sampling error, the closer to 0.50 that p is estimated to be, the sample size required a) is smaller by is larger c) is not affected d) can be smaller, larger or unaffected 11. A 99% confidence interval estimate can be interpreted to mean that a) if all possible samples are taken and confidence interval estimates are developed, 99% of them would include the true population mean somewhere within their interval. b) we have 99% confidence that we have selected a sample whose interval does include the population mean. c) Both of the above. d) None of the above. 12. Which of the following is not true about the Student's distribution? a) It has more area in the tails and less in the center than does the normal distribution. b) It is used to construct confidence intervals for the population mean when the population standard deviation is known. c) It is bell shaped and symmetrical. d) As the number of degrees of freedom increases, the r distribution approaches the normal distribution. 13. The 7 distribution a) assumes the population is normally distributed. b) approaches the normal distribution as the sample size increases. e) has more area in the tails than does the normal distribution. d) All of the above. 14. Suppose a 95% confidence interval for " turns out to be (1,000, 2,100). Give a definition of what it means to be "95% confident" in an inference. a) In repeated sampling, the population parameter would fall in the given interval 95% of the time. b) In repeated sampling, 95% of the intervals constructed would contain the population mean. c) 95% of the observations in the entire population fall in the given interval. d) 95% of the observations in the sample fall in the given interval.
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