Exam 6: Random Variables and Discrete Probability Distributions
Exam 1: What Is Statistics39 Questions
Exam 2: Graphical and Tabular Descriptive Techniques192 Questions
Exam 3: Numerical Descriptive Techniques215 Questions
Exam 4: Data Collection and Sampling82 Questions
Exam 5: Probability200 Questions
Exam 6: Random Variables and Discrete Probability Distributions158 Questions
Exam 7: Continuous Probability Distributions149 Questions
Exam 8: Sampling Distributions127 Questions
Exam 9: Introduction to Estimation85 Questions
Exam 10: Introduction to Hypothesis Testing178 Questions
Exam 11: Inference About a Population75 Questions
Exam 12: Inference About Comparing Two Populations, Part 183 Questions
Exam 13: Inference About Comparing Two Populations, Part 284 Questions
Exam 14: Analysis of Variance125 Questions
Exam 15: Chi-Squared Tests118 Questions
Exam 16: Simple Linear Regression and Correlation231 Questions
Exam 17: Multiple Regression143 Questions
Exam 18: Review of Statistical Inference182 Questions
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A remedial program evenly enrolls tradition and non-traditional students. If a random sample of 4 students is selected from the program to be interviewed about the introduction of a new on-line class, what is the probability that all 4 students selected are traditional students?
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Retries: The following table contains the probability distribution for X = the number of retries necessary to successfully transmit a 1024K data package through a double satellite media.
-What is the standard deviation of the number of retries?

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The probability of a failure in a binomial experiment is denoted by ____________________.
(Short Answer)
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Which of the following about the binomial distribution is not a true statement?
(Multiple Choice)
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In the Poisson distribution, the mean is equal to the ____________________.
(Short Answer)
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The variance of a binomial distribution for which n = 50 and p = 0.20 is 8.0.
(True/False)
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Unsafe Levels of Radioactivity: The number of incidents at a nuclear power plant has a Poisson distribution with a mean of 6 incidents per year.
-Find the probability that there will be at least 3 incidents in a year.
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Number of Horses: The random variable X represents the number of horses per family in a rural area in Iowa, with the probability distribution: p(x) = 0.05x, x = 2, 3, 4, 5, or 6.
-Express the probability distribution in tabular form.
(Essay)
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A motorcycle insurance company evaluates many numerical variables about a person before deciding on an appropriate rate for motorcycle insurance. The number of tickets a person has received in the last 3 years is an example of a(n) ____________________ random variable.
(Short Answer)
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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 Poisson probability distribution is a continuous probability distribution.
(True/False)
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A Poisson random variable is the number of successes that occur in a period of ____________________ or an interval of ____________________ in a Poisson experiment.
(Short Answer)
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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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Unsafe Levels of Radioactivity: The number of incidents at a nuclear power plant has a Poisson distribution with a mean of 6 incidents per year.
-Find the probability that there will be at least 1 incident in a year.
(Essay)
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Retries: The following table contains the probability distribution for X = the number of retries necessary to successfully transmit a 1024K data package through a double satellite media.
-What is the mean or expected value for the number of retries?

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A(n) ____________________ random variable is one whose values are countable.
(Short Answer)
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In a Poisson distribution, the mean and standard deviation are equal.
(True/False)
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In the Poisson distribution, the ____________________ is equal to the variance.
(Short Answer)
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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.
-Calculate the expected value of Y directly from the probability distribution of Y.

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