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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Assume that you have a binomial experiment with p = 0.5 and a sample size of 100. The expected value of this distribution is
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Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables.
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Exhibit 5-3
The probability distribution for the number of goals the Lions soccer team makes per game is given below.
-Refer to Exhibit 5-3. What is the probability that in a given game the Lions will score no goals?

(Multiple Choice)
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Before dawn Josh hurriedly packed some clothes for a job-interview trip while his roommate was still sleeping. He reached in his disorganized sock drawer where there were five black socks and five navy blue socks, although they appeared to be the same color in the dimly lighted room. Josh grabbed six socks, hoping that at least two, and preferably four, of them were black to match the gray suit he had packed. With no time to spare, he then raced to the airport to catch his plane.
a. What is the probability that Josh packed at least two black socks so that he will be dressed appropriately the day of his interview?
b. What is the probability that Josh packed at least four black socks so that he will be dressed appropriately the latter day of his trip as well?
(Short Answer)
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Twenty-five percent of all resumes received by a corporation for a management position are from females. Fifteen resumes will be received tomorrow.
a.Define the random variable in words for this experiment.
b.What is the probability that exactly 5 of the resumes will be from females?
c.What is the probability that fewer than 3 of the resumes will be from females?
d.What is the expected number of resumes from women?
e.What is the variance of the number of resumes from women?
(Essay)
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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 probability that there are less than 3 occurrences is
(Multiple Choice)
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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 probability that there are 8 occurrences in ten minutes is
(Multiple Choice)
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Waters' Edge is a clothing retailer that promotes its products via catalog and accepts customer orders by all of the conventional ways including the Internet. The company has gained a competitive advantage by collecting data about its operations and the customer each time an order is processed.Among the data collected with each order are: number of items ordered, total shipping weight of the order, whether or not all items ordered were available in inventory, time taken to process the order, customer's number of prior orders in the last 12 months, and method of payment. For each of the six aforementioned variables, identify which of the variables are discrete and which are continuous.
(Essay)
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A local university reports that 3% of their students take their general education courses on a pass/fail basis. Assume that fifty students are registered for a general education course.
a.Define the random variable in words for this experiment.
b.What is the expected number of students who have registered on a pass/fail basis?
c.What is the probability that exactly five are registered on a pass/fail basis?
d.What is the probability that more than three are registered on a pass/fail basis?
e.What is the probability that less than four are registered on a pass/fail basis?
(Essay)
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The salespeople at Gold Key Realty sell up to 9 houses per month. The probability distribution of a salesperson selling x houses in a month is as follows:
a. What are the mean and standard deviation for the number of houses sold by a salesperson per month?
b. Any salesperson selling more houses than the amount equal to the mean plus two standard deviations receives a bonus. How many houses per month must a salesperson sell to receive a bonus?

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Which of the following properties of a binomial experiment is called the stationarity property?
(Multiple Choice)
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A manufacturing company has 5 identical machines that produce nails. The probability that a machine will break down on any given day is 0.1. Define a random variable x to be the number of machines that will break down in a day.
a.What is the appropriate probability distribution for x? Explain how x satisfies the properties of the distribution.
b.Compute the probability that 4 machines will break down.
c.Compute the probability that at least 4 machines will break down.
d.What is the expected number of machines that will break down in a day?
e.What is the variance of the number of machines that will break down in a day?
(Short Answer)
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Fifty-five percent of the applications received for a particular credit card are accepted. Among the next twelve applications,
a.what is the probability that all will be rejected?
b.what is the probability that all will be accepted?
c.what is the probability that exactly 4 will be accepted?
d.what is the probability that fewer than 3 will be accepted?
e.Determine the expected number and the variance of the accepted applications.
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Seventy percent of the students applying to a university are accepted. What is the probability that among the next 18 applicants
a. At least 6 will be accepted?
b. Exactly 10 will be accepted?
c. Exactly 5 will be rejected?
d. Fifteen or more will be accepted?
e. Determine the expected number of acceptances.
f. Compute the standard deviation.
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A description of how the probabilities are distributed over the values the random variable can assume is called a
(Multiple Choice)
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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
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An insurance company has determined that each week an average of nine claims is filed in their Atlanta branch. What is the probability that during the next week
a.exactly seven claims will be filed?
b.no claims will be filed?
c.less than four claims will be filed?
d.at least eighteen claims will be filed?
(Short Answer)
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Ten percent of the items produced by a machine are defective. Out of 15 items chosen at random,
a.what is the probability that exactly 3 items will be defective?
b.what is the probability that less than 3 items will be defective?
c.what is the probability that exactly 11 items will be non-defective?
(Short Answer)
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