This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: 1 CHAPTER 10 SECTION 2: INTRODUCTION TO ESTIMATION MULTIPLE CHOICE 47. The term 1 - 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. ANS: B PTS: 1 REF: SECTION 10.2 48. The letter in the formula for constructing a confidence interval estimate of the population mean is: a. the level of confidence. b. the probability that a particular confidence interval will contain the population mean. c. the area in the lower tail of the sampling distribution of the sample mean. d. None of these choices. ANS: D PTS: 1 REF: SECTION 10.2 49. Which of the following is an incorrect statement about a 90% confidence interval? a. If we repeatedly draw samples of the same size from the same population, 90% of the resulting confidence intervals will include . b. There is a 90% probability that the population mean will lie between the lower confidence limit (LCL) and the upper confidence limit (UCL). c. We are 90% confident that our sample mean equals the population mean . d. 90% of the population values will lie within the confidence interval. ANS: A PTS: 1 REF: SECTION 10.2 50. 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. ANS: D PTS: 1 REF: SECTION 10.2 51. If the confidence level is reduced, the confidence interval: a. widens. b. remains the same. c. narrows. d. disappears. ANS: C PTS: 1 REF: SECTION 10.2 2 52. The z 2 value for a 95% confidence interval estimate for a population mean is a. 0.95 b. 0.025 c. 1.65 d. 1.96 ANS: D PTS: 1 REF: SECTION 10.2 53. In developing an interval estimate for a population mean, the population standard deviation was assumed to be 10. The interval estimate was 50.92 2.14. Had equaled 20, the interval estimate would be a. 60.92 2.14 b. 50.92 12.14 c. 101.84 4.28 d. 50.92 4.28 ANS: D PTS: 1 REF: SECTION 10.2 54. In developing an interval estimate for a population mean, a sample of 50 observations was used. The interval estimate was 19.76 1.32. Had the sample size been 200 instead of 50, the interval estimate would have been: a. 19.76 .33 b. 19.76 .66 c. 19.76 5.28 d. None of these choices. ANS: B PTS: 1 REF: SECTION 10.2 55. After constructing a confidence interval estimate for a population mean, you believe that the interval is useless because it is too wide. In order to correct this problem, you need to: a. increase the population standard deviation. b. increase the sample size....
View Full Document
This note was uploaded on 09/28/2010 for the course FINOPMGT 250 taught by Professor Kumar during the Spring '10 term at University of Massachusetts Boston.
- Spring '10