Question

Multiple Choice. Select the best response 1. An estimator is said to be consistent if a. the difference between the estimator and the population parameter grows smaller as the sample b. C. d. size grows larger it is an unbiased estimator the variance of the estimator is zero. the difference between the estimator and the population parameter stays the same as the sample size grows larger 2. An unbiased estimator of a population parameter is defined as a. an estimator whose expected value is equal to the parameter b. an estimator whose variance is equal to one c. an estimator whose expected value is equal to zero d. an estimator whose variance goes to zero as the sample size goes to infinity 3. The term 1 - a refers to: a. the probability that a confidence interval does not contain the population parameter b. the confidence level C. the level of unbiasedness. d. the level of consistency 4. Suppose an interval estimate for the population mean was 62.84 to 69.46. The population standard deviation was assumed to be 6.50, and a sample of 100 observations was used. The mean of the sample was: a. 6.62 b. 56.34 C. 62.96 d. 66.15 5. The width of a confidence interval estimate of the population mean increases when the a. level of confidence increases b. sample size decreases c. value of the population standard deviation increases d. All of these choices are true.

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