Exam 5: Discrete Probability Distributions
Exam 1: Data and Statistics104 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Presentations65 Questions
Exam 3: Descriptive Statistics: Numerical Measures162 Questions
Exam 4: Introduction to Probability146 Questions
Exam 5: Discrete Probability Distributions121 Questions
Exam 6: Continuous Probability Distributions165 Questions
Exam 7: Sampling and Sampling Distributions131 Questions
Exam 8: Interval Estimation131 Questions
Exam 9: Hypothesis Tests136 Questions
Exam 10: Comparisons Involving Means, Experimental Design and Analysis of Variance208 Questions
Exam 11: Comparisons Involving Proportions and a Test of Independence94 Questions
Exam 12: Simple Linear Regression140 Questions
Exam 13: Multiple Regression146 Questions
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A retailer of electronic equipment received six VCRs from the manufacturer. Three of the VCRs were damaged in the shipment. The retailer sold two VCRs to two customers.
a.Can a binomial formula be used for the solution of the above problem?
b.What kind of probability distribution does the above satisfy, and is there a function for solving such problems?
c.What is the probability that both customers received damaged VCRs?
d.What is the probability that one of the two customers received a defective VCR?
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Correct Answer:
a.No, in a binomial experiment, trials are independent of each other.b.Hypergeometric probability distribution
c.0.2
d.0.6
An experiment consists of making 80 telephone calls in order to sell a particular insurance policy. The random variable in this experiment is a
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Correct Answer:
A
The expected value for a binomial probability distribution is
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In a binomial experiment the probability of success is 0.06. What is the probability of two successes in seven trials?
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A random variable x has the following probability distribution:
a.Determine the expected value of x.
b.Determine the variance.

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Which of the following is not a property of a binomial experiment?
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Exhibit 5-11
A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below:
-Refer to Exhibit 5-11. The probability of no breakdowns in a month is

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Exhibit 5-13
Oriental Reproductions, Inc. is a company that produces handmade carpets with oriental designs. The production records show that the monthly production has ranged from 1 to 5 carpets. The production levels and their respective probabilities are shown below.
-Refer to Exhibit 5-13. the expected monthly production level is

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X is a random variable with the probability function: f(X) = X/6 for X = 1, 2 or 3
The expected value of X is
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Exhibit 5-8
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 5-8. The appropriate probability distribution for the random variable is
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Exhibit 5-7
The probability that Pete will catch fish when he goes fishing is .8. Pete is going to fish 3 days next week. Define the random variable X to be the number of days Pete catches fish.
-Refer to Exhibit 5-7. The probability that Pete will catch fish on exactly one day is
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Which of the following is not a required condition for a discrete probability function?
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Exhibit 5-13
Oriental Reproductions, Inc. is a company that produces handmade carpets with oriental designs. The production records show that the monthly production has ranged from 1 to 5 carpets. The production levels and their respective probabilities are shown below.
-Refer to Exhibit 5-13. The standard deviation for the production is

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Exhibit 5-3
Roth is a computer-consulting firm. The number of new clients that they have obtained each month has ranged from 0 to 6. The number of new clients has the probability distribution that is shown below.
-Refer to Exhibit 5-3. The standard deviation is

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The average number of calls received by a switchboard in a 30-minute period is 15.
a.What is the probability that between 10:00 and 10:30 the switchboard will receive exactly 10 calls?
b.What is the probability that between 10:00 and 10:30 the switchboard will receive more than 9 calls but fewer than 15 calls?
c.What is the probability that between 10:00 and 10:30 the switchboard will receive fewer than 7 calls?
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Exhibit 5-9
The probability distribution for the daily sales at Michael's Co. is given below.
-Refer to Exhibit 5-9. The expected daily sales are

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