Exam 6: Random Variables and Discrete Probability Distributions
Exam 1: What Is Statistics41 Questions
Exam 2: Graphical and Tabular Descriptive Techniques199 Questions
Exam 3: Numerical Descriptive Techniques226 Questions
Exam 4: Data Collection and Sampling82 Questions
Exam 5: Probability212 Questions
Exam 6: Random Variables and Discrete Probability Distributions174 Questions
Exam 7: Continuous Probability Distributions167 Questions
Exam 8: Sampling Distributions133 Questions
Exam 9: Introduction to Estimation88 Questions
Exam 10: Introduction to Hypothesis Testing186 Questions
Exam 11: Inference About a Population76 Questions
Exam 12: Inference About Comparing Two Populat85 Questions
Exam 13: Inference About Comparing Two Populat85 Questions
Exam 14: Analysis of Variance127 Questions
Exam 15: Chi-Squared Tests118 Questions
Exam 16: Simple Linear Regression and Correlat238 Questions
Exam 17: Multiple Regression147 Questions
Exam 18: Review of Statistical Inference189 Questions
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For each of the following random variables, indicate whether the variable is discrete or continuous, and specify the possible values that it can assume.
a. X = the number of traffic accidents in Albuquerque on a given day.
b. X = the amount of weight lost in a month by a randomly selected dieter.
c. X = the average number of children per family in a random sample of 175 families.
d. X = the number of households out of 10 surveyed that own a convection oven.
e. X = the time in minutes required to obtain service in a restaurant.
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The expected value, E ( X ), of a binomial probability distribution with n trials and probability p of success is:
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The number of female customers out of a random sample of 100 customers arriving at a department store has a binomial distribution.
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The number of homeless people in Boston is an example of a discrete random variable.
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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} Find the variance and standard deviation of the number of stores entered.

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The binomial distribution deals with consecutive trials, each of which has two possible outcomes.
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A(n)____________________ random variable is one whose values are countable.
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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. {Unsafe Levels of Radioactivity Narrative} Find the probability that there will be at least 1 incident in a year.
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A motorcycle insurance company evaluates many numerical variables about a person before deciding on an appropriate rate for motorcycle insurance. How long a person has been a licensed rider is an example of a(n)____________________ random variable.
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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.
{Retries Narrative} What is the mean or expected value for the number of retries?

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The number of home insurance policy holders is an example of a discrete random variable
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In each trial of a binomial experiment, there are ____________________ possible outcomes.
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The expected number of heads in 100 tosses of an unbiased coin is
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The amount of milk consumed by a baby in a day is an example of a discrete random variable.
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The number of customers making a purchase out of 30 randomly selected customers has a Poisson distribution.
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In Poisson experiment, the probability of more than one success in an interval approaches ____________________ as the interval becomes smaller.
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The weighted average of the possible values that a random variable X can assume, where the weights are the probabilities of occurrence of those values, is referred to as the:
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Let X be a Poisson random variable with m = 8. Use the table of Poisson probabilities to calculate: 

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