Exam 4: Discrete Random Variables and Probability Distributions
Exam 1: Describing Data: Graphical247 Questions
Exam 2: Describing Data: Numerical326 Questions
Exam 3: Probability345 Questions
Exam 4: Discrete Random Variables and Probability Distributions257 Questions
Exam 5: Continuous Random Variables and Probability Distributions239 Questions
Exam 6: Sampling and Sampling Distributions147 Questions
Exam 7: Estimation: Single Population151 Questions
Exam 8: Estimation: Additional Topics109 Questions
Exam 9: Hypothesis Testing: Single Population164 Questions
Exam 10: Hypothesis Testing: Additional Topics103 Questions
Exam 11: Simple Regression217 Questions
Exam 12: Multiple Regression252 Questions
Exam 13: Additional Topics in Regression Analysis168 Questions
Exam 14: Analysis of Categorical Data241 Questions
Exam 15: Analysis of Variance192 Questions
Exam 16: Time-Series Analysis and Forecasting138 Questions
Exam 17: Additional Topics in Sampling110 Questions
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In an office of 18 people,there are 7 men and 11 women.A subcommittee of four people will be formed from this group.
-What is the probability that the subcommittee contains two men and two women?
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In a box of 20 chocolates,there are four chocolates with coconut filling.What is the probability of choosing four chocolates,one or more of which have coconut filling?
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If X and Y are random variables with Var(X)= 7.5,Var(Y)= 6 and Cov(X,Y)= 4,then Var(2X + 3Y)is:
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A perfect straight line sloping upward would produce a correlation coefficient value of +1.
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The number of males selected from a sample of 5 students taken without replacement from a class of 9 females and 18 males has a hypergeometric distribution.
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How do the mean and standard deviation of the total amount that this investor earns in one year change as the $60,000 in cash available is reallocated for investment? Provide an intuitive explanation for the changes you observed here.
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Consider the following probability distribution function.
-Which of the following is true for the binomial distribution?

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The quality of computer disks is measured by sending the disks through a certifier which counts the number of missing pulses.A certain brand of computer disks averages 0.1 missing pulse per disk.Let the random variable X denote the number of missing pulses.
-What is the distribution of X?
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If X and Y are any random variables with Cov(X,Y)= 0.25,
= 0.36,and
= 0)49,then the coefficient of correlation p is:


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Which of the following is an example of a binomial experiment?
(Multiple Choice)
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Develop a realistic example of a pair of random variables for which you would expect to find negative covariance.
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The number of customers that are served at a fast food restaurant between noon and 2:00 p.m.is an example of a discrete random variable.
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It has been reported that 1.7% of the work force will retire this year.Consider a random sample of 200 workers.
-What is the probability that more than three of them will retire this year? Use the Poisson approximation to the binomial.
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A bank grants mortgages to 87% of all applicants.After the applicant gets approval,the bank sends an appraiser to evaluate the value of the property.The bank pays an appraiser a salary of $2000 a month plus $200 for each appraisal.Assume the bank gets 10 loan applications next month.
-What is the variance of the amount of money the bank will have to pay its appraiser?
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From past experience,it is known 90% of one-year-old children can distinguish their mother's voice from the voice of a similar sounding female.A random sample of 20 one-year-olds is given this voice recognition test.
-Find the probability all 20 children recognize their mother's voice.
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The following table displays the joint probability distribution of two discrete random variables X and Y.
-Determine the marginal probability distribution for Y.

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70% of the customers at the local ice cream shop order their ice cream on a sugar cone.Assume that the next ten customers order independently of one another.
-What is the probability that exactly seven of them order sugar cones?
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The cumulative probability function for a random variable X expresses the probability that X exceeds the value of x0,as a function of x0.
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