Exam 4: Introduction to Probability
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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The probability of the intersection of two mutually exclusive events
(Multiple Choice)
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Initial estimates of the probabilities of events are known as
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The results of a survey of 800 married couples and the number of children they had is shown below.
If a couple is selected at random, what is the probability that the couple will have
a.Less than 4 children?
b.More than 2 children?
c.Either 2 or 3 children?

(Short Answer)
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Revised probabilities of events based on additional information are
(Multiple Choice)
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If P(A) = 0.62, P(B) = 0.47, and P(A B) = 0.88; then P(A B) =
(Multiple Choice)
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If P(A) = 0.38, P(B) = 0.83, and P(A B) = 0.57; then P(A B) =
(Multiple Choice)
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If A and B are independent events with P(A) = 0.2 and P(B) = 0.6, then P(A B) =
(Multiple Choice)
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A machine is used in a production process. From past data, it is known that 97% of the time the machine is set up correctly. Furthermore, it is known that if the machine is set up correctly, it produces 95% acceptable (non-defective) items. However, when it is set up incorrectly, it produces only 40% acceptable items.
a.An item from the production line is selected. What is the probability that the selected item is non-defective?
b.Given that the selected item is non-defective, what is the probability that the machine is set up correctly?
c.What method of assigning probabilities was used here?
(Essay)
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The "Top Three" at a racetrack consists of picking the correct order of the first three horses in a race. If there are 10 horses in a particular race, how many "Top Three" outcomes are there?
(Multiple Choice)
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Events A and B are mutually exclusive with P(A) = 0.3 and P(B) = 0.2. The probability of the complement of Event B equals
(Multiple Choice)
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A method of assigning probabilities that assumes the experimental outcomes are equally likely is referred to as the
(Multiple Choice)
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A company plans to interview 10 recent graduates for possible employment. The company has three positions open. How many groups of three can the company select?
(Short Answer)
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An experiment consists of tossing 4 coins successively. The number of sample points in this experiment is
(Multiple Choice)
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The following table shows the number of students in three different degree programs and whether they are graduate or undergraduate students:
a.What is the probability that a randomly selected student is an undergraduate?
b.What percentage of students is engineering majors?
c.If we know that a selected student is an undergraduate, what is the probability that he or she is a business major?
d.A student is enrolled in the Arts and Sciences school. What is the probability that the student is an undergraduate student?
e.What is the probability that a randomly selected student is a graduate Business major?

(Short Answer)
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Safety Insurance Company has compiled the following statistics. For any one-year period:
P(accident | male driver under 25) = .22
P(accident | male driver over 25) = .15
P(accident | female driver under 25) = .16
P(accident | female driver over 25) = .14
The percentage of Safety's policyholders in each category is:
Male Under 25 20%
Male Over 25 40%
Female Under 25 10%
Female Over 25 30%
a. What is the probability that a randomly selected policyholder will have an accident within the next year?
b. Given that a driver has an accident, what is the probability the driver is a male over 25?
c. Given that a driver has no accident, what is the probability the driver is a female?
(Short Answer)
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The Board of Directors of Bidwell Valve Company has made the following estimates for the upcoming year's annual earnings:
P(earnings lower than this year) = .30
P(earnings about the same as this year) = .50
P(earnings higher than this year) = .20
After talking with union leaders, the human resource department has drawn the following conclusions:
P(Union will request wage increase | lower earnings next year) = .25
P(Union will request wage increase | same earnings next year) = .40
P(Union will request wage increase | higher earnings next year) = .90
a. Calculate the probability that the company earns the same as this year and the union requests a wage increase.
b. Calculate the probability that the company has higher earnings next year and the union does not request a wage increase.
c. Calculate the probability that the union requests a wage increase.
(Short Answer)
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In statistical experiments, each time the experiment is repeated
(Multiple Choice)
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