Exam 7: Random Variables and Discrete Probability Distributions
Exam 1: What Is Statistics43 Questions
Exam 2: Graphical Descriptive Techniques I93 Questions
Exam 3: Graphical Descriptive Techniques II183 Questions
Exam 4: Numerical Descriptive Techniques274 Questions
Exam 5: Data Collection and Sampling82 Questions
Exam 6: Probability234 Questions
Exam 7: Random Variables and Discrete Probability Distributions274 Questions
Exam 8: Continuous Probability Distributions215 Questions
Exam 9: Sampling Distributions153 Questions
Exam 10: Introduction to Estimation152 Questions
Exam 11: Introduction to Hypothesis Testing182 Questions
Exam 12: Inference About a Population147 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance153 Questions
Exam 15: Chi-Squared Tests175 Questions
Exam 16: Simple Linear Regression and Correlation298 Questions
Exam 17: Multiple Regression157 Questions
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Mobile Phones Sales
After analyzing sales data, the owner of a Mobile Phone store produced the following joint probability distribution of the number of iPhones (X) and Blackberries (Y) sold daily.
-{Mobile Phones Sales Narrative} Compute the variance of the number of Blackberries sold daily.

(Short Answer)
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Online Bankers
An official from the securities commission estimates that 75% of all online bankers have profited from the use of insider information.Assume that 15 online bankers are selected at random from the commission's registry.
-{Online Bankers Narrative} Find the probability that at least 6 have profited from insider information.
(Short Answer)
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Number of Hamsters
The joint probability distribution of X and Y is shown in the accompanying table, where X denotes the number of hamsters that Quinn may have next year, and Y denotes the number of hamsters that her boyfriend, Jason, may have when she moves in with him next year.
-{Number of Hamsters Narrative} Are X and Y independent? Explain.

(Essay)
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The following information regarding a portfolio of two stocks are given: w1 = .25, w2 = .75, E(R1) = .08, and E(R2) = .15.Which of the following regarding the portfolio expected return, E(Rp), is correct?
(Multiple Choice)
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Sports Fans
Suppose that past history shows that 5% of college students are sports fans.A sample of 10 students is to be selected.
-{Sports Fans Narrative} Find the probability that more than 1 student is a sports fan.
(Short Answer)
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Number of Birds
Alana and Eva are sisters.Let X denote the number of birds that Alana may have in the next two years, and let Y denote the number of birds Eva may have during the same period.The marginal probability distributions of X and Y are shown below.
-{Number of Birds Narrative} Calculate V(X + Y) directly by using the probability distribution of X + Y.

(Short Answer)
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Let X be a binomial random variable with n = 25 and p = 0.01.
a.
Use the binomial table to find P(X = 0), P(X = 1), and P(X = 2).
b.
Find the variance and standard deviation of X.
(Essay)
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Which of the following cannot have a Poisson distribution?
(Multiple Choice)
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Post office
The number of arrivals at a local post office between 3:00 and 5:00 P.M.has a Poisson distribution with a mean of 12.
-{Post Office Narrative} Find the probability that the number of arrivals between 3:30 and 4:00 P.M.is at least 10.
(Essay)
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The expected value of the sum of two random variables X and Y is equal to the ____________________ of the expected value of X and the expected value of Y.
(Short Answer)
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If X is a binomial random variable with n = 25, and p = 0.25, then P(X = 25) = 1.0.
(True/False)
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If X has a binomial distribution with n = 4 and p = 0.3, find P(X > 1).
(Short Answer)
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Suppose that the number of buses arriving at a Depot per minute is a Poisson process.If the average number of buses arriving per minute is 3, what is the probability that exactly 6 buses arrive in the next minute?
(Short Answer)
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Post office
The number of arrivals at a local post office between 3:00 and 5:00 P.M.has a Poisson distribution with a mean of 12.
-{{Post Office Narrative} Find the probability that the number of arrivals between 4:00 and 5:00 P.M.is exactly two.
(Essay)
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