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Unformatted text preview: Stat 2103, Midterm Exam 1(With answer) Feb. 22nd. 2011, NAME: 20 points total. Only a calculator and a onepage cheatsheet allowed. 1. Each month interviewers visit about 43 , 000 of the 87 million households in the region and question the occupants over 18 years of age about their housing status. Their responses enable the interviewers to estimate the percentage of people in the labor force who are renting. 1.1. Define the population of interest to the interviewers: a. The 87 million households in the region b. Housing status c. The 43 , 000 households visited in the region d. All people in the region who are over 18 years old Answer: A 1.2. What variable is being measured? a. The 87 million households in the region b. All people in the region who are over 18 years old c. The 43 , 000 households visited in the region d. Housing status Answer: D 1.3. Choose the correct statement a. The problem of interest to the interviewers is descriptive; the variable being measured is qualitative b. The problem of interest to the interviewers is descriptive; the variable being measured is quantitative c. The problem of interest to the interviewers is inferential; the variable being measured is qualitative d. The problem of interest to the interviewers is inferential; the variable being measured is quantitative Answer: C 2. Given data: 18 , 10 , 13 , 10 , 19, we have: a. The mean is 14 and the median is 13. b. Both the mean and the median measure the central tendency of the data, 1 but the median is not easily affected by outliers. c. The mode of this data is 10, and the mode can be a measure of central tendency for both quantitative and qualitative data. d. All of the above. Answer: D 3. A research company performed a study of Machiavellian traits in accoun tants. Machiavellian describes negative character traits that include manipu lation, cunning, duplicity, deception, and bad faith. A questionnaire was ad ministered to a random sample of 700 accounting alumni of a large university;...
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 Spring '11
 Zhao
 Statistics, Standard Deviation, job satisfaction score

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