Exam 5: Discrete Probability Distributions
Exam 1: Data and Statistics85 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays112 Questions
Exam 3: Descriptive Statistics: Numerical Measures139 Questions
Exam 4: Introduction to Probability129 Questions
Exam 5: Discrete Probability Distributions150 Questions
Exam 6: Continuous Probability Distributions144 Questions
Exam 7: Sampling and Sampling Distributions119 Questions
Exam 8: Interval Estimation118 Questions
Exam 9: Hypothesis Tests118 Questions
Exam 10: Inference About Means and Proportions With Two Populations127 Questions
Exam 11: Inferences About Population Variances113 Questions
Exam 12: Tests of Goodness of Fit, Independence and Multiple Proportions76 Questions
Exam 13: Experimental Design and Analysis of Variance125 Questions
Exam 14: Simple Linear Regression103 Questions
Exam 15: Multiple Regression109 Questions
Exam 16: Regression Analysis: Model Building82 Questions
Exam 17: Time Series Analysis and Forecasting80 Questions
Exam 18: Nonparametric Methods83 Questions
Exam 19: Statistical Methods for Quality Control75 Questions
Exam 20: Decision Analysis71 Questions
Exam 21: Sample Survey68 Questions
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Excel's __________ function can be used to compute the expected value of a discrete random variable.
(Multiple Choice)
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Exhibit 5-7
A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information.
-Refer to Exhibit 5-7. The variance of the number of cups of coffee is

(Multiple Choice)
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A property of the Poisson distribution is that the mean equals the
(Multiple Choice)
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Exhibit 5-10
The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week.
-Refer to Exhibit 5-10. The expected number of days Pete will catch fish is
(Multiple Choice)
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Exhibit 5-10
The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week.
-When dealing with the number of occurrences of an event over a specified interval of time or space and when the occurrence or nonoccurrence in any interval is independent of the occurrence or nonoccurrence in any other interval, the appropriate probability distribution is a
(Multiple Choice)
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Exhibit 5-10
The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week.
-Refer to Exhibit 5-10. The probability that Pete will catch fish on exactly one day is
(Multiple Choice)
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Exhibit 5-7
A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information.
-In a binomial experiment the probability of success is 0.06. What is the probability of two successes in seven trials?

(Multiple Choice)
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During lunchtime, customers arrive at Bob's Drugs according to a Poisson distribution with = 4 per minute.
a. During a one minute interval, determine the following probabilities: (1) no arrivals; (2) one arrival; (3) two arrivals; and, (4) three or more arrivals.
b. What is the probability of two arrivals in a two-minute period?
(Essay)
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Compute the hypergeometric probabilities for the following values of n and x. Assume N = 8 and r = 5.
a.n = 5, x = 2
b.n = 6, x = 4
c.n = 3, x = 0
d.n = 3, x = 3
(Short Answer)
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Exhibit 5-7
A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information.
-A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a

(Multiple Choice)
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Exhibit 5-7
A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information.
-If you are conducting an experiment where the probability of a success is .02 and you are interested in the probability of 4 successes in 15 trials, the correct probability function to use is the

(Multiple Choice)
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Exhibit 5-10
The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week.
-In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the
(Multiple Choice)
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In a large university, 15% of the students are female. If a random sample of twenty students is selected,
a. what is the probability that the sample contains exactly four female students?
b. what is the probability that the sample will contain no female students?
c. what is the probability that the sample will contain exactly twenty female students?
d. what is the probability that the sample will contain more than nine female students?
e. what is the probability that the sample will contain fewer than five female students?
f. what is the expected number of female students?
(Essay)
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Exhibit 5-10
The probability that Pete will catch fish on a particular day when he goes fishing is 0.8. Pete is going fishing 3 days next week.
-The Poisson probability distribution is a
(Multiple Choice)
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The _____ probability function is based in part on the counting rule for combinations.
(Multiple Choice)
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Twenty percent of the students in a class of 100 are planning to go to graduate school. The standard deviation of this binomial distribution is
(Multiple Choice)
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Shoppers enter Hamilton Place Mall at an average of 120 per hour.
a.Define the random variable in words for this experiment.
b.What is the probability that exactly 5 shoppers will enter the mall between noon and 1:00 p.m.?
c.What is the probability that exactly 5 shoppers will enter the mall between noon and 12:05 p.m.?
d.What is the probability that at least 35 shoppers will enter the mall between 5:00 and 5:10 p.m.?
(Essay)
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Exhibit 5-2
The probability distribution for the daily sales at Michael's Co. is given below.
-Refer to Exhibit 5-2. The expected daily sales are

(Multiple Choice)
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