Exam 5: A Sulvey of Probability Concepts
Exam 1: What Is Statistics79 Questions
Exam 2: Describing Data: Frequencydistributions and Graphic Presentation100 Questions
Exam 3: Describing Data: Numerical Measures214 Questions
Exam 4: Describing Data: Displaying and Exploring Pata138 Questions
Exam 5: A Sulvey of Probability Concepts121 Questions
Exam 6: Discrete Probability Distributions145 Questions
Exam 7: Continuous Probabilitydistributions79 Questions
Exam 8: Sampling Methods and the Central Umit Theorem134 Questions
Exam 9: Estimation and Confidence Intervals140 Questions
Exam 10: One-Sample Tests of Hypothesis111 Questions
Exam 11: Two Sample Tests of Hypothesis103 Questions
Exam 12: Analysis of Variance173 Questions
Exam 13: Linear Regression and Correlation132 Questions
Exam 14: Multiple Regression and Correlation Analysis126 Questions
Exam 15: Chi-Square Applications94 Questions
Exam 16: Decision Making and Payoff Tables in Investment Scenarios151 Questions
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i. A binomial distribution has a characteristic that an outcome of an experiment is classified into one
Of two mutually exclusive categories (a success or a failure).
ii. A binomial distribution has the characteristic that the probability of a success stays the same for
Each trial, but the probability of a failure varies from trial to trial.
iii. The mean of a binomial probability distribution can be determined by multiplying the probability
Of a failure by the number of trials.
(Multiple Choice)
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Judging from recent experience, 5 percent of the computer keyboards produced by an automatic,
High-speed machine are defective. If six keyboards are randomly selected, what is the probability
That none of the keyboards are defective?
(Multiple Choice)
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Sixty percent of the customers of a fast food chain order a hamburger, French fries and a drink. If a
Random sample of 15 cash register receipts is selected, what is the probability that 10 will show that
The above three food items were ordered?
(Multiple Choice)
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Affirmative action commitments by industrial organizations have led to an increase in the number of
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
This is an example of what type of probability distribution?
(Multiple Choice)
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(i. If π = 1/3 and n = 900, the mean of this binomial distribution is 300.
(ii. If n = 900 and π = 1/3, the variance of this binomial distribution is 200.
(iii) If π = 1/5 and n = 100, the standard deviation of this binomial distribution is four.
(Multiple Choice)
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What must you know to develop a binomial probability distribution?
(Multiple Choice)
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(i. To construct a binomial distribution we need to know the total number of trials and the probability
Of a success.
(ii. If n = 900 and π = 1/3, the variance of this binomial distribution is 200.
(iii) If π = 1/5 and n = 100, the standard deviation of this binomial distribution is four.
(Multiple Choice)
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When a household is randomly selected, the probability distribution for the number x of cars owned
Is as described in the accompanying table.
Find the mean and standard deviation of the probability distribution.

(Multiple Choice)
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A statistic professor finds she averages five e-mail messages per day from students. Assume the
Number of messages approximates a Poisson distribution.
What is the probability that on a randomly selected day she will have no messages?
(Multiple Choice)
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The arrival of customers at a service desk follows a Poisson distribution. If they arrive at the rate of
Four every five minutes, what is the probability that more than four customers arrive in a five minute
Period?
(Multiple Choice)
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i. The random variable for a Poisson probability distribution is discrete.
ii. The Poisson probability distribution is always negatively skewed.
iii. The Poisson probability distribution has the same four characteristics as the binomial, but in
Addition, the probability of a success (π) is small and the number of trials (n) is relatively large.
(Multiple Choice)
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A multiple-choice test consists of five questions, each with A-E answers. If you guess the answer to
Each question, what is the probability of getting four or more questions correct?
(Multiple Choice)
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(i. To construct a binomial distribution we need to know the total number of trials and the probability
Of a success.
(ii. If n = 900 and π = 1/3, the variance of this binomial distribution is 200.
(iii) If π = 1/5 and n = 100, the standard deviation of this binomial distribution is 20.
(Multiple Choice)
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In a large metropolitan area, past records revealed that 30 percent of all the high school graduates
Go to college. From 10 graduates selected at random, calculate the probability that none will go to
College.
(Multiple Choice)
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i. The mean of a binomial distribution is the product of the probability of success and the number of
Repetitions of the experiment.
ii. The binomial probability distribution is always negatively skewed.
iii. A binomial distribution has the characteristic that the probability of a success stays the same for
Each trial, but the probability of a failure varies from trial to trial.
(Multiple Choice)
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Affirmative action commitments by industrial organizations have led to an increase in the number of
Women in executive positions. Satellite Office Systems has vacancies for two executives that it will
fill from among four women and six men.
What is the probability that exactly one woman is selected?
(Multiple Choice)
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(i. A random variable with a Poisson distribution has one of two mutually exclusive values.
(ii. For the hypergeometric distribution there are only 2 possible outcomes.
(iii) In the hypergeometric distribution the probability of a success is not the same on each trail.
(Multiple Choice)
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i. A random variable is assigned numerical values based on the outcomes of an experiment.
ii. A random variable is a quantity resulting from a random experiment that can assume different
Values by chance.
iii. The mean of a probability distribution is referred to as its expected value.
(Multiple Choice)
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i. The probability of a particular outcome, designated X, must always be between 0 and 100
Inclusive.
ii. A random variable is a quantity resulting from a random experiment that can assume different
Values by chance.
iii. The mean of a probability distribution is referred to as its expected value.
(Multiple Choice)
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