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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If one wanted to find the probability of ten customer arrivals in an hour at a service station, one would generally use the
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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.
-The binomial probability distribution is used with

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Exhibit 5-11
The random variable x is the number of occurrences of an event over an interval of ten minutes. It can be assumed that the probability of an occurrence is the same in any two time periods of an equal length. It is known that the mean number of occurrences in ten minutes is 5.3.
-Refer to Exhibit 5-11. The appropriate probability distribution for the random variable is
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Exhibit 5-4
A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below.
-Refer to Exhibit 5-4. The expected number of machine breakdowns per month is

(Multiple Choice)
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The demand for a product varies from month to month. Based on the past year's data, the following probability distribution shows MNM company's monthly demand.
a.Determine the expected number of units demanded per month.
b.Each unit produced costs the company $8.00, and is sold for $10.00. How much will the company gain or lose in a month if they stock the expected number of units demanded, but sell 2000 units?

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The average number of calls received by a switchboard in a 30-minute period is 15.
a.Define the random variable in words for this experiment.
b.What is the probability that between 10:00 and 10:30 the switchboard will receive exactly 10 calls?
c.What is the probability that between 10:00 and 10:30 the switchboard will receive more than 9 calls but fewer than 15 calls?
d.What is the probability that between 10:00 and 10:30 the switchboard will receive fewer than 7 calls?
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A company sells its products to wholesalers in batches of 1,000 units only. The daily demand for its product and the respective probabilities are given below.
a.Determine the expected daily demand.
b.Assume that the company sells its product at $3.75 per unit. What is the expected daily revenue?

(Short Answer)
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Exhibit 5-1
The following represents the probability distribution for the daily demand of microcomputers at a local store.
-Refer to Exhibit 5-1. The expected daily demand is

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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.
-Which of the following is a characteristic of a binomial experiment?

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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.
-Which of the following is not a property of a binomial experiment?

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