Exam 8: Probability Distributions
Exam 1: Introduction37 Questions
Exam 2: Summarizing Data: Listing and Grouping63 Questions
Exam 3: Summarizing Data: Measures of Location57 Questions
Exam 4: Summarizing Data: Measures of Variation56 Questions
Exam 5: Possibilities and Probabilities63 Questions
Exam 6: Some Rules of Probability75 Questions
Exam 7: Expectations and Decisions49 Questions
Exam 8: Probability Distributions78 Questions
Exam 9: The Normal Distribution89 Questions
Exam 10: Sampling and Sampling Distributions61 Questions
Exam 11: Problems of Estimation13 Questions
Exam 12: Tests of Hypotheses: Means55 Questions
Exam 13: Tests of Hypotheses: Standard Deviations39 Questions
Exam 14: Tests of Hypotheses Based on Count Data43 Questions
Exam 15: Analysis of Variance49 Questions
Exam 16: Regression39 Questions
Exam 17: Correlation28 Questions
Exam 18: Nonparametric Tests41 Questions
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Find the mean and standard deviation of the number of tails obtained in 576 flips of a balanced coin using the fact that is a binomial random variable. If necessary, round to the nearest thousandth.
(Short Answer)
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Tell whether the given function can serve as the probability distribution of an appropriate random variable.
-=0.25, f(2)=0.40, f(3)=0.30\)
(True/False)
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The use of the Poisson distribution requires a value which indicates a definite number of independent trials.
(True/False)
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The number of monthly breakdowns of a conveyor belt at a local factory is a random variable having the Poisson distribution with .
-Find the probability that the conveyor belt will function for a month with two breakdowns. Round to the nearest thousandth.
(Short Answer)
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A service station receives an average of six customers per hour. The probability that there will be three arrivals in a given hour can be found by using the
(Multiple Choice)
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If of the checks received in an all night drugstore bounce, find the probability that in the next 100 checks received by the store, the following will occur.
-At least three bounce.
(Short Answer)
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If we want to calculate the probability of from four to six successes in a hypergeometric distribution problem, then we must use the formula three times.
(True/False)
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It has been found that of the employees who complete a sequence of executive seminars go on to become vice presidents. Assume that 10 graduates of the program are randomly selected.
-In the situation above, find the probability that no one becomes a vice president.
(Short Answer)
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If a binomial distribution problem has and , then the answer should be approximated by using
(Multiple Choice)
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A company produces stereo components. The probability of the company producing a defective component is 0.003 .
-In the situation above, if 1000 components are produced, find the probability that at most 4 components are defective.
(Short Answer)
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A company produces stereo components. The probability of the company producing a defective component is 0.003 .
-In the situation above, if 1000 components are produced, find the probability that from 4 to 6 components are defective.
(Short Answer)
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Three companies share the entire market for a particular product. Company A has a share, company B has a } share, and company has a .
-If 12 people who buy the product are selected at random, find the probability that five buy the product from company A, four from company B, and three from company C.
(Short Answer)
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If we apply Chebyshev's theorem to the 60 to 80 interval of distribution, with , the value of will be _______.
(Short Answer)
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The standard deviation is a measure of the theoretical average value that a distribution is likely to assume for a large number of trials.
(True/False)
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A die is rolled 10 times. The probability of obtaining from 4 to 7 threes should be determined using the formula for the
(Multiple Choice)
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Check whether the condition for the binomial approximation to the hypergeometric distribution is satisfied if a , and .
(Short Answer)
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Which of the following can be probability distributions? Justify your answer.
a. where the random variable can take on only the values 1,2 , and 3 .
b. for .
c. where the random variable can take on only the values and 4 .
d. for
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