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The number of customers that enter a store during one day is an example of


A) a continuous random variable.
B) a discrete random variable.
C) either a continuous or a discrete random variable, depending on whether odd or even number of the customers enter.
D) either a continuous or a discrete random variable, depending on the gender of the customers.

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

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Oriental Reproductions, Inc.is a company that produces handmade carpets with oriental designs.The production records show that the monthly production has ranged from 1 to 5 carpets.The production levels and their respective probabilities are shown below. Oriental Reproductions, Inc.is a company that produces handmade carpets with oriental designs.The production records show that the monthly production has ranged from 1 to 5 carpets.The production levels and their respective probabilities are shown below.   The expected monthly production level is A)  1.00. B)  4.00. C)  3.00. D)  3.84. The expected monthly production level is


A) 1.00.
B) 4.00.
C) 3.00.
D) 3.84.

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

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A binomial probability distribution with p = .3 is​


A) ​negatively skewed.
B) ​symmetric.
C) ​positively skewed.
D) ​multi-modal.

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

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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. 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 A)  1.45. B)  2.09. C)  3.1. D)  9.61. ​ The variance is


A) 1.45.
B) 2.09.
C) 3.1.
D) 9.61.

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

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Twenty percent of the students in a class of 400 are planning to go to graduate school.The standard deviation of this binomial distribution is


A) 20.
B) 64.
C) 8.
D) 40.

E) A) and B)
F) B) and D)

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The random variable x is the number of occurrences of an event over an interval of ten minutes.It can be assumed that the probability of an occurrence is the same in any two-time periods of an equal length.It is known that the mean number of occurrences in ten minutes is 5.3.Which of the following discrete probability distributions' properties are satisfied by random variable x?


A) Normal
B) Poisson
C) Binomial
D) Hypergeometric

E) C) and D)
F) None of the above

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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. 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 variance of the number of cups of coffee is A)  1.06. B)  1.03. C)  2.25. D)  1.24. ​ The variance of the number of cups of coffee is


A) 1.06.
B) 1.03.
C) 2.25.
D) 1.24.

E) All of the above
F) None of the above

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The binomial probability distribution is most symmetric when​


A) ​n is 30 or greater.
B) ​n equals p.
C) ​p approaches 1.
D) ​p equals 0.5.

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

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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.


A) discrete
B) continuous
C) mixed type
D) multivariate

E) None of the above
F) B) and C)

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The Poisson probability distribution is a _____ probability distribution.


A) continuous
B) discrete
C) uniform
D) normal

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

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Consider the probability distribution below. Consider the probability distribution below.   ​ The expected value of x equals A)  23. B)  25. C)  30. D)  100. ​ The expected value of x equals


A) 23.
B) 25.
C) 30.
D) 100.

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

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Which of the following properties of a binomial experiment is called the stationarity assumption?


A) The experiment consists of n identical trials.
B) Two outcomes are possible on each trial.
C) The probability of success is the same for each trial.
D) The trials are independent.

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

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The probability distribution for the daily sales at Michael's Co.is given below. The probability distribution for the daily sales at Michael's Co.is given below.   ​ The probability of having sales of at least $50,000 is A)  0.5 B)  0.10. C)  0.30. D)  0.90. ​ The probability of having sales of at least $50,000 is


A) 0.5
B) 0.10.
C) 0.30.
D) 0.90.

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

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Random variable x has the probability function: f(x) = x/6 for x = 1,2 or 3.The expected value of x is


A) 0.333.
B) 0.500.
C) 2.000.
D) 2.333.

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

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The probability that Pete will catch fish when he goes fishing is .88.Pete is going to fish 3 days next week.Define the random variable x to be the number of days Pete catches fish.The probability that Pete will catch fish on exactly one day is


A) 0.880.
B) 0.038.
C) 0.040.
D) 0.960.

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

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The Poisson probability distribution is used with _____ random variable.


A) a continuous
B) a discrete
C) either a continuous or discrete
D) any

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

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The student body of a large university consists of 60% female students.A random sample of 8 students is selected.What is the probability that among the students in the sample at least 6 are female?


A) 0.3154
B) 0.6846
C) 0.0168
D) 0.8936

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

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The probability that Pete will catch fish when he goes fishing is .88.Pete is going to fish 3 days next week.Define the random variable x to be the number of days Pete catches fish.The probability that Pete will catch fish on one day or less is


A) 0.880.
B) 0.038.
C) 0.040.
D) 0.960.

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

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The expected value of a discrete random variable


A) is the most likely or highest probability value for the random variable.
B) will always be one of the values x can take on, although it may not be the highest probability value for the random variable.
C) is the average value for the random variable over many repeats of the experiment.
D) is the value it is expected to assume in the next trial.

E) C) and D)
F) None of the above

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The probability distribution for the number of goals the Lions soccer team makes per game is given below. The probability distribution for the number of goals the Lions soccer team makes per game is given below.   ​ What is the probability that in a given game the Lions do not score more than 2 goals? A)  0.20 B)  0.50 C)  1.0 D)  0.70 ​ What is the probability that in a given game the Lions do not score more than 2 goals?


A) 0.20
B) 0.50
C) 1.0
D) 0.70

E) None of the above
F) A) and D)

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