Exam 5: Discrete Probability Distributions
Exam 1: Data and Statistics84 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays67 Questions
Exam 3: Descriptive Statistics: Numerical Measures118 Questions
Exam 4: Introduction to Probability94 Questions
Exam 5: Discrete Probability Distributions84 Questions
Exam 6: Continuous Probability Distributions121 Questions
Exam 7: Sampling and Sampling Distributions116 Questions
Exam 8: Interval Estimation90 Questions
Exam 9: Hypothesis Tests95 Questions
Exam 10: Inference About Means and Proportions With Two Populations63 Questions
Exam 11: Inferences About Population Variances66 Questions
Exam 12: Comparing Multiple Proportions, Tests of Independence and Goodness of Fit59 Questions
Exam 13: Experimental Design and Analysis of Variance76 Questions
Exam 14: Simple Linear Regression132 Questions
Exam 15: Multiple Regression103 Questions
Exam 16: Regression Analysis: Model Building41 Questions
Exam 17: Time Series Analysis and Forecasting51 Questions
Exam 18: Nonparametric Methods58 Questions
Exam 19: Decision Analysis48 Questions
Exam 20: Index Numbers39 Questions
Exam 21: Statistical Methods for Quality Control60 Questions
Exam 22: Sample Survey48 Questions
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The variance Var(x) for the binomial distribution is given by equation
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The following table shows part of the probability distribution for the number of boats sold daily at Boats Unlimited. It is known that the average number of boats sold daily is 1.57.
Compute the variance and the standard deviation for this probability distribution.

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Consider the probability distribution below.
The expected value of x equals

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A cosmetics salesperson, who calls potential customers to sell her products, has determined that 30% of her telephone calls result in a sale. Determine the probability distribution for her next three calls. Note that the next three calls could result in 0, 1, 2, or 3 sales.
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The expected value for a binomial distribution is given by equation
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A description of the distribution of the values of a random variable and their associated probabilities is called a
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Roth is a computer-consulting firm. The number of new clients that they have obtained each month has ranged from 0 to 6. The number of new clients has the probability distribution that is shown below.
The expected number of new clients per month is

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A production process produces 2.5% defective parts. A sample of five parts from the production process is selected. What is the probability that the sample contains exactly two defective parts?
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To compute the probability that in a random sample of n elements, selected without replacement, we will obtain x successes, we would use the _____ probability distribution.
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Consider the probability distribution below.
The variance of x equals

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Which of the following is a required condition for a discrete probability function?
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Roth is a computer-consulting firm. The number of new clients that they have obtained each month has ranged from 0 to 6. The number of new clients has the probability distribution that is shown below.
The variance is

(Multiple Choice)
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The binomial probability distribution is most symmetric when
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The use of the relative frequency method to develop discrete probability distributions leads to what is called a _____ discrete distribution.
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A random variable that may take on any value in an interval or collection of intervals is known as a _____ random variable.
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An experiment consists of determining the speed of automobiles on a highway by the use of radar equipment. The random variable in this experiment is a _____ random variable.
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The number of electrical outages in a city varies from day to day. Assume that the number of electrical outages (x) in the city has the following probability distribution.
The mean and the standard deviation for the number of electrical outages (respectively) are

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If one wanted to find the probability of ten customer arrivals in an hour at a service station, one would generally use the _____ probability distribution.
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A sample of 2,500 people was asked how many cups of coffee they drink in the morning. You are given the following sample information.
The expected number of cups of coffee is

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