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# S12 - before the final exam The portion of all students at...

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1. The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out the portion of students at her university who visited campus bars on the weekend before the final exam week. Her advisor took a random sample of 250 students. The total number of students in the sample who visited campus bars on the weekend before the final exam week is an example of a) a categorical random variable. b) a discrete random variable. c) a continuous random variable. d) a parameter. ANSWER: b TYPE: MC DIFFICULTY: Moderate KEYWORDS: discrete random variable, types of data 2. The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out the portion of students at her university who visited campus bars on the weekend before the final exam week. Her advisor took a random sample of 250 students and computed the portion of students in the sample who visited campus bars on the weekend
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Unformatted text preview: before the final exam. The portion of all students at her university who visited campus bars on the weekend before the final exam week is an example of a) a categorical random variable. b) a discrete random variable. c) a continuous random variable. d) a parameter. ANSWER: d TYPE: MC DIFFICULTY: Moderate KEYWORDS: parameter, types of data 3. The chancellor of a major university was concerned about alcohol abuse on her campus and wanted to find out the portion of students at her university who visited campus bars on the weekend before the final exam week. Her advisor took a random sample of 250 students. The portion of students in the sample who visited campus bars on the weekend before the final exam week is an example of a) a categorical random variable. b) a discrete random variable. c) a parameter. d) a statistic. ANSWER: d TYPE: MC DIFFICULTY: Moderate KEYWORDS: statistic, types of data...
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• Spring '11
• mmm
• Probability distribution, Probability theory, Discrete probability distribution, Continuous probability distribution

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