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A measure of the long-run average value of a random variable used to represent the central location of a probability distribution is called a(n) _____________.


A) population variance
B) population standard deviation
C) expected value
D) coefficient of variation

E) All of the above
F) A) and B)

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A new car was put into production. It involved many assembly tasks. Each car was inspected at the end of the assembly line and the number of defects per unit was recorded. For the first 100 cars produced, there were 40 defective cars. Some of the cars had no defects, a few had one defect, and so on. The distribution of defects followed a Poisson distribution. Based on the first 100 cars produced, about how many out of every 1,000 cars assembled should have one or more defects?


A) About 660
B) About 165
C) About 630
D) About 330

E) B) and C)
F) All of the above

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The probability of a particular outcome must always be between 0.0 and 1.0 inclusive.

A) True
B) False

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In the _______________________ distribution, the probability of a success is not the same on each trail.

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There are eight flights from Minneapolis to St. Cloud each day. The probability that any one flight is late is 0.10. Using the binomial probability formula, what is the probability that none are late?

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0.43
Explanation: Applying the binomial ...

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If π = 1/5 and n = 100, the standard deviation of this binomial distribution is _____.

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A probability distribution is a mutually exclusive and collectively exhaustive listing of experimental outcomes that can occur by chance, and their corresponding probabilities.

A) True
B) False

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For the following distribution: For the following distribution:   What is the variance of the distribution? A)  2.1 B)  0.63 C)  3.9 D)  2.754 What is the variance of the distribution?


A) 2.1
B) 0.63
C) 3.9
D) 2.754

E) B) and C)
F) A) and B)

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What is the only variable in the Poisson probability formula?


A) π
B) x
C) e
D) P

E) A) and C)
F) A) and B)

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For a trial, the number of possible outcomes for the binomial experiment is _____.

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If the variance is 3.6 grams, what is the standard deviation?


A) 0.600
B) 1.897
C) 6.000
D) 12.96

E) B) and C)
F) B) and D)

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