Ch05_Sect02-04_Kellet MS_AISE TB

# Ch05_Sect02-04_Kellet MS_AISE TB - CHAPTER 5 SECTION 2-4...

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CHAPTER 5 SECTION 2-4: DATA COLLECTION AND SAMPLING MULTIPLE CHOICE 36. The difference between a sample mean and the population mean is called: a. nonresponse error. b. selection bias. c. sampling error. d. nonsampling error. ANS: C PTS: 1 REF: SECTION 5.2-5.4 37. The manager of the customer service division of a major consumer electronics company is interested in determining whether the customers who have purchased a videocassette recorder over the past 12 months are satisfied with their products. If there are 4 different brands of videocassette recorders made by the company, the best sampling strategy would be to use a: a. simple random sample. b. stratified random sample. c. cluster sample. d. self-selected sample. ANS: B PTS: 1 REF: SECTION 5.2-5.4 38. A pharmaceutical company interested in measuring how often physicians prescribe a certain drug has selected a simple random sample from each of two groups: M.D. (Medical Doctors) and D.O. (Osteopaths). What is this type of sampling called? a. Simple random sampling. b. Cluster sampling. c. Stratified random sampling. d. None of these choices. ANS: C PTS: 1 REF: SECTION 5.2-5.4 39. When the population is divided into mutually exclusive sets, and then a simple random sample is drawn from each set, this is called: a. simple random sampling. b. stratified random sampling. c. cluster sampling. d. selection bias. ANS: B PTS: 1 REF: SECTION 5.2-5.4 40. When every possible sample with the same number of observations is equally likely to be chosen, the result is called a: a. simple random sample. b. stratified random sample. c. cluster sample. d. biased sample. ANS: A PTS: 1 REF: SECTION 5.2-5.4 This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition. This may not be resold, copied, or distributed without the prior consent of the publisher.

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41. Which of the following types of samples is almost always biased? a. Simple random samples. b. Stratified random samples. c. Cluster samples. d. Self-selected samples. ANS: D PTS: 1 REF: SECTION 5.2-5.4 42. Which of the following types of samples should not be used to make good statistical inferences from a sample to a population? a. Stratified random samples. b. Self-selected samples. c. Cluster samples. d. All of these choices are true. ANS: D PTS: 1 REF: SECTION 5.2-5.4 43. Which of the following is an example of a nonsampling error? a. Some incorrect responses are recorded. b. Responses are not obtained from all members of the sample. c. Some members of the target population cannot possibly be selected for the sample. d. All of these choices are true. ANS: D PTS: 1 REF: SECTION 5.2-5.4 44. The Dean of Students from a large university mailed a survey to 500 students selected at random. The sample was designed to include 125 students randomly selected from each of the freshman, sophomore, junior, and senior classes on campus. What sampling method was used? a.
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Ch05_Sect02-04_Kellet MS_AISE TB - CHAPTER 5 SECTION 2-4...

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