Exam 7: Random Variables and Discrete Probability Distributions
Exam 1: What Is Statistics46 Questions
Exam 2: Graphical Descriptive Techniques 194 Questions
Exam 3: Graphical Descriptive Techniques 2156 Questions
Exam 4: Numerical Descriptive Techniques275 Questions
Exam 5: Data Collection and Sampling84 Questions
Exam 6: Probability240 Questions
Exam 7: Random Variables and Discrete Probability Distributions283 Questions
Exam 8: Continuous Probability Distributions224 Questions
Exam 9: Sampling Distributions156 Questions
Exam 10: Introduction to Estimation154 Questions
Exam 11: Introduction to Hypothesis Testing189 Questions
Exam 12: Inference About a Population153 Questions
Exam 13: Inference About Comparing Two Populations170 Questions
Exam 14: Analysis of Variance157 Questions
Exam 15: Chi-Squared Tests179 Questions
Exam 16: Simple Linear Regression and Correlation304 Questions
Exam 17: Multiple Regression160 Questions
Exam 18: Model Building148 Questions
Exam 19: Nonparametric Statistics175 Questions
Exam 20: Time-Series Analytics and Forecasting225 Questions
Exam 21: Statistical Process Control140 Questions
Exam 22: Decision Analysis123 Questions
Exam 23: Conclusion47 Questions
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In the Poisson distribution,the mean is equal to the ____________________.
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(Short Answer)
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variance
A(n)____________________ random variable is one whose values are uncountable.
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(Short Answer)
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continuous
The binomial probability distribution is a discrete probability distribution.
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(True/False)
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True
To find the probability that X is at most 10,you should find the probability that X is 10 or ____________________.
(Short Answer)
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If the probability of success p remains constant in a binomial distribution,an increase in n will increase the variance.
(True/False)
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In a Poisson distribution,the variance and standard deviation are equal.
(True/False)
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The number of customers arriving at a department store in a 5-minute period has a Poisson distribution.
(True/False)
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The number of days that a microcomputer goes without a breakdown is an example of a(n)____________________ random variable.
(Short Answer)
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Which of the following is not a characteristic of a binomial experiment?
(Multiple Choice)
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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 iPhones sold daily.

(Short Answer)
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In a bivariate distribution,the sum of all the ____________________ probabilities must equal 1.
(Short Answer)
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The number of accidents that occur at a busy intersection in one month is an example of a Poisson random variable.
(True/False)
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A portfolio expected return E(Rp)of 3 stocks with the quantities w1 = .40,w2 = .50,w3 = .10,E(R1)= .10,E(R2)= .15,and E(R3)= .02 is equal to 0.117.
(True/False)
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Golfing Store
The joint probability distribution of variables X and Y is shown in the table below,where X is the number of drivers and Y is the number of putters sold daily in a small golfing store.
-{Golfing Store Narrative} Calculate E(X + Y)and V(X + Y)directly by using the probability distribution of X + Y.

(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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If X and Y are independent variables,then their coefficient of correlation ρ = 0.
(True/False)
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Shopping Outlet
A shopping outlet estimates the probability distribution of the number of stores shoppers actually enter as shown in the table below.
-{Shopping Outlet Narrative} What did you notice about the mean,variance,and standard deviation of Y = 2X + 1 in terms of the mean,variance,and standard deviation of X?

(Essay)
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