ch. 5 sample test - Discrete probability distributions...

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CHAPTER FIVE DISCRETE PROBABILITY DISTRIBUTIONS MULTIPLE CHOICE QUESTIONS In the following multiple-choice questions, circle the correct answer. 1. A numerical description of the outcome of an experiment is called a a. descriptive statistic b. probability function c. variance d. random variable ANSWER: d 2. A random variable that can assume only a finite number of values is referred to as a(n) a. infinite sequence b. finite sequence c. discrete random variable d. discrete probability function ANSWER: c 3. A continuous random variable may assume a. any value in an interval or collection of intervals b. only integer values in an interval or collection of intervals c. only fractional values in an interval or collection of intervals d. only the positive integer values in an interval ANSWER: a 4. An experiment consists of making 80 telephone calls in order to sell a particular insurance policy. The random variable in this experiment is the number of sales made. This random variable is a a. discrete random variable b. continuous random variable c. complex random variable d. None of the answers is correct. ANSWER: a 5. The number of customers that enter a store during one day is an example of a. a continuous random variable b. a discrete random variable c. either a continuous or a discrete random variable, depending on the number of the customers d. either a continuous or a discrete random variable, depending on the gender of the customers ANSWER: b MBS2-TB05 - 1
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6. An experiment consists of measuring the speed of automobiles on a highway by the use of radar equipment. The random variable in this experiment is speed, measured in miles per hour. This random variable is a a. discrete random variable b. continuous random variable c. complex random variable d. None of the answers is correct. ANSWER: b 7. The weight of an object, measured in grams, is an example of a. a continuous random variable b. a discrete random variable c. either a continuous or a discrete random variable, depending on the weight of the object d. either a continuous or a discrete random variable depending on the units of measurement ANSWER: a 8. The weight of an object, measured to the nearest gram, is an example of a. a continuous random variable b. a discrete random variable c. either a continuous or a discrete random variable, depending on the weight of the object d. either a continuous or a discrete random variable depending on the units of measurement ANSWER: b 6. A description of how the probabilities are distributed over the values the random variable can assume is called a a. probability distribution b. probability function c. random variable d. expected value ANSWER: a 10. Which of the following is(are) required condition(s) for a discrete probability function? a.
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This note was uploaded on 04/22/2008 for the course ISM 2300 taught by Professor Siddiqui during the Spring '08 term at Wayne State University.

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ch. 5 sample test - Discrete probability distributions...

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