1. A binomial probability distribution with p = 0.3 is _____. A. negatively skewed
2. A continuous random variable may assume _____. A. any value in an interval or collection of intervals
3. A description of how the probabilities are distributed over the values the random variable can assume is called a(n) _____. A. probability distribution
4. A marketing manager instructs his team to make 80 telephone calls to attempt to sell an insurance policy. The random variable in this experiment is the number of sales made. This random variable is a _____. A. discrete random variable
5. A measure of the average value of a random variable is called a(n) _____. A. expected value
6. A numerical description of the outcome of an experiment is called a _____. A. random variable
7. A probability distribution showing the probability of x successes in n trials, where the probability of success does not change from trial to trial, is termed a _____. A. binomial probability distribution
8. A production process produces 2% 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? A. .0038
9. A random variable that can assume only a finite number of values is referred to as a(n) _____. A. discrete random variable
10. A weighted average of the value of a random variable, where the probability function provides weights, is known as _____. A. the expected value
11. An example of a bivariate experiment is _____. A. rolling a pair of dice
12. Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is _____. A. 12
13. Assume that you have a binomial experiment with p = 0.5 and a sample size of 100. The expected value of this distribution is _____. A. 50
14. Bivariate probabilities are often called _____. A. joint probabilities
15. Excel’s _____ function can be used to compute the expected value of a discrete random variable. A. SUMPRODUCT
16.  Excel’s _____ function can be used to compute the variance of a discrete random variable. A. SUMPRODUCT
17. Excel’s BINOM.DIST function can be used to compute _____. A. both binomial probabilities and cumulative binomial probabilities
18. Excel’s BINOM.DIST function has how many inputs? A. 4
19. Excel’s HYPGEOM.DIST function can be used to compute _____. A. hypergeometric probabilities
20. Excel’s HYPGEOM.DIST function has how many inputs? A. 5
21. Exhibit 5-10
    The probability Pete will catch fish when he goes fishing is .8. Pete is going fishing 3 days next week. Refer to Exhibit 5-10. What is the random variable in this experiment? A. the number of days out of 3 that Pete catches fish
22. Exhibit 5-10
    The probability Pete will catch fish when he goes fishing is .8. Pete is going fishing 3 days next week.  Refer to Exhibit 5-10. The probability that Pete will catch fish on exactly 1 day is _____. A. .096
23. Exhibit 5-10
    The probability Pete will catch fish when he goes fishing is .8. Pete is going fishing 3 days next week. Refer to Exhibit 5-10. The probability that Pete will catch fish on 1 or fewer days is _____. A. .104
24. Exhibit 5-10
    The probability Pete will catch fish when he goes fishing is .8. Pete is going fishing 3 days next week. Refer to Exhibit 5-10. The expected number of days Pete will catch fish is _____.  A. 2.4
25. Exhibit 5-10
    The probability Pete will catch fish when he goes fishing is .8. Pete is going fishing 3 days next week. Refer to Exhibit 5-10. The variance of the number of days Pete will catch fish is _____.  A. .48
26. Exhibit 5-11
    The random variable x is the number of occurrences of an event over an interval of 10 minutes. It can be assumed 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 10 minutes is 5.3. Refer to Exhibit 5-11. The appropriate probability distribution for the random variable is _____. A. discrete
27. Exhibit 5-11
    The random variable x is the number of occurrences of an event over an interval of 10 minutes. It can be assumed 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 10 minutes is 5.3.  Refer to Exhibit 5-11. The expected value of the random variable x is _____. A. 5.3
28. Exhibit 5-11
    The random variable x is the number of occurrences of an event over an interval of 10 minutes. It can be assumed 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 10 minutes is 5.3. Refer to Exhibit 5-11. The probability there are 8 occurrences in 10 minutes is _____. A. .0771
29. Exhibit 5-11
    The random variable x is the number of occurrences of an event over an interval of 10 minutes. It can be assumed 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 10 minutes is 5.3.  Refer to Exhibit 5-11. The probability there are less than 3 occurrences is _____. A. .1016
30. Exhibit 5-8
    The student body of a large university consists of 60% female students. A random sample of 8 students is selected. A. the number of female students out of 8
31. Exhibit 5-8
    The student body of a large university consists of 60% female students. A random sample of 8 students is selected. Refer to Exhibit 5-8. What is the probability that among the students in the sample exactly two are female? A. .0413
32. Exhibit 5-8
    The student body of a large university consists of 60% female students. A random sample of 8 students is selected. Refer to Exhibit 5-8. What is the probability that among the students in the sample at least 7 are female? A. .1064
33. Exhibit 5-8
    The student body of a large university consists of 60% female students. A random sample of 8 students is selected. Refer to Exhibit 5-8. What is the probability that among the students in the sample at least 6 are male? A. .0499
34. Exhibit 5-9
    Forty percent of all registered voters in a national election are female. A random sample of 5 voters is selected. Refer to Exhibit 5-9. What is the random variable in this experiment? A. the number of female voters out of 5
35. Exhibit 5-9
    Forty percent of all registered voters in a national election are female. A random sample of 5 voters is selected. Refer to Exhibit 5-9. The probability that the sample contains 2 female voters is _____. A. .3456
36. Exhibit 5-9
    Forty percent of all registered voters in a national election are female. A random sample of 5 voters is selected.  Refer to Exhibit 5-9. The probability that there are no females in the sample is _____. A. .0778
37. Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables. A. continuous
38. Four percent of the customers of a mortgage company default on their payments. A sample of five customers is selected. What is the probability that exactly two customers in the sample will default on their payments? A. .0142
39. Highway patrol officers measure the speed of automobiles on a highway using radar equipment. The random variable in this experiment is speed, measured in miles per hour. This random variable is a _____. A. continuous random variable
40. If you are conducting an experiment where the probability of a success is .02 and you are interested in the probability of two successes in 15 trials, the correct probability function to use is the _____. A. binomial probability function
41. In a binomial experiment consisting of five trials, the number of different values that x (the number of successes) can assume is _____. A. 6
42. In a binomial experiment, the _____. A. probability of success does not change from trial to trial
43. In a binomial experiment, the probability of success is .06. What is the probability of two successes in seven trials? A. .0554
44. The binomial probability distribution is most symmetric when _____. A. p equals 0.5
45. The binomial probability distribution is used with _____. A. a discrete random variable
46. The expected value for a binomial probability distribution is _____. A. E(x) = np
47. The expected value of a discrete random variable _____. A. is the average value for the random variable over many repeats of the experiment
48. The expected value of a random variable is the _____. A. mean value
49. The expected value of a random variable is the _____. A. None of the answers are correct (below)
    -value of the random variable that should be observed on the next repeat of the experiment
    -value of the random variable that occurs most frequently
    -square root of the variance
50. The key difference between binomial and hypergeometric distributions is that with the hypergeometric distribution the _____. A. probability of success changes from trial to trial
51.  The number of customers who enter a store during one day is an example of _____. A. a discrete random variable
52. The standard deviation is the _____. A. positive square root of the variance
53.  The standard deviation of a binomial distribution is _____. A. None of the answers are correct (below)
    -E(x) = pn(1 − n)
    -E(x) = np(1 − p)
    -E(x) = np
54.  The variance for the binomial probability distribution is _____. A. Var(x) = np(1 − p)
55. The variance is a weighted average of the _____. A. squared deviations from the mean
56. The weight of an object, measured in grams, is an example of _____. A. a continuous random variable
57. The weight of an object, measured to the nearest gram, is an example of _____. A. a discrete random variable
58. To compute a binomial probability. we must know all of the following except the _____ A. number of elements in the population
59. Twenty percent of the students in a class of 100 are planning to go to graduate school. The standard deviation of this binomial distribution is _____. A. 4
60. Variance is _____. A. a measure of the dispersion of a random variable
61. When using Excel’s BINOM.DIST function, one should choose TRUE for the fourth input if _____. A. a cumulative probability is desired
62. When using Excel’s HYPGEOM.DIST function, one should choose TRUE for the fifth input if _____. A. a cumulative probability is desired
63.  Which of the following is a characteristic of a binomial experiment? A. The trials are independent.
64. Which of the following is NOT a characteristic of an experiment where the binomial probability distribution is applicable? A. The trials are dependent.
65. Which of the following is NOT a property of a binomial experiment? A. The probabilities of the two outcomes can change from one trial to the next.
66.  Which of the following is NOT a required condition for a discrete probability function? A. ∑f(x) = 0
67. Which of the following is(are) required condition(s) for a discrete probability function? A. None of the answers are correct (below)
    ∑f(x) = 0
    f(x) ≥ 1 for all values of x
    f(x) < 0
68. Which of the following properties of a binomial experiment is called the stationarity? A. The probability of success is the same for each trial.
69. Which of the following statements about a discrete random variable and its probability distribution is true? A. Values of f(x) must be greater than or equal to zero.
70. x is a random variable with the probability function: f(x) = x/6 for x = 1, 2, or 3. The expected value of x is _____. A. 2.333
71. A binomial probability distribution with p = 0.3 is _____. A. negatively skewed
72. A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below.
73. Number of Breakdowns. Probability
74. 0 .12
75. 1 .38
76. 2 .25
77. 3 .18
78. 4 .07
79. The expected number of machine breakdowns per month is _____. A. 1.70
80. A local bottling company has determined the number of machine breakdowns per month and their respective probabilities as shown below.
81. Number of Breakdowns. Probability
82. 0 .12
83. 1 .38
84. 2 .25
85. 3 .18
86. 4 .07
87. The probability of at least 3 breakdowns in a month is _____. A. None of these answers are correct.
88. Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is _____. A. 12
89. Assume that you have a binomial experiment with p = 0.5 and a sample size of 100. The expected value of this distribution is _____. A. 50
90. Excel’s HYPGEOM.DIST function can be used to compute _____. A. hypergeometric probabilities
91. Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables. A. continuous
92. Forty percent of all registered voters in a national election are female. A random sample of 5 voters is selected.The probability that there are no females in the sample is _____. A. .0778
93. If you are conducting an experiment where the probability of a success is .02 and you are interested in the probability of two successes in 15 trials, the correct probability function to use is the _____. A. binomial probability function
94. Probability Distribution
95. x f(x)
96. 10 .2
97. 20 .3
98. 30. .4
99. 40 .1
100. The expected value of x equals _____. A. 24
101. The probability Pete will catch fish when he goes fishing is .8. Pete is going fishing 3 days next week.The expected number of days Pete will catch fish is _____. A. 2.4
102. The probability Pete will catch fish when he goes fishing is .8. Pete is going fishing 3 days next week.The variance of the number of days Pete will catch fish is _____. A. 48
103. The random variable x is the number of occurrences of an event over an interval of 10 minutes. It can be assumed 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 10 minutes is 5.3.The appropriate probability distribution for the random variable is _____. A. discrete
104. The student body of a large university consists of 60% female students. A random sample of 8 students is selected.What is the random variable in this experiment? A. the number of female students out of 8
105. 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 7 are female? A. 1064
106. 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 male? A. .0499
107. The variance for the binomial probability distribution is _____. A. Var(x) = np(1 − p)
108. When using Excel’s BINOM.DIST function, one should choose TRUE for the fourth input if _____. A. a cumulative probability is desired
109. Which of the following is NOT a required condition for a discrete probability function? A. Σf(x) = 0
110. Which of the following is(are) required condition(s) for a discrete probability function? a. f(x) ≥ 1 for all values of x A. None of these answers are correct

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