Statistics for Business & Economics, Revised, 13th Edition by David R. Anderson - Test Bank Instant Download - Complete Test Bank With Answers Sample Questions Are Posted Below 1. Which of the following is a characteristic of an experiment where the binomial probability distribution is applicable? a. The experiment has at …
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Statistics for Business & Economics, Revised, 13th Edition by David R. Anderson – Test Bank
Instant Download – Complete Test Bank With Answers
Sample Questions Are Posted Below
1. Which of the following is a characteristic of an experiment where the binomial probability distribution is applicable?
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2. A numerical description of the outcome of an experiment is called a
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3. 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
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4. A continuous random variable may assume
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5. A description of the distribution of the values of a random variable and their associated probabilities is called a
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6. Which of the following is a required condition for a discrete probability function?
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7. A measure of the average value of a random variable is called a(n)
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8. Which of the following is a required condition for a discrete probability function?
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9. A weighted average of the values of a random variable, where the probability function provides weights, is known as
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10. 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
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11. The number of customers that enter a store during one day is an example of
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12. The weight of an object is an example of
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13. 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?
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14. 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
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15. In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the
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16. The Poisson probability distribution is a
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17. The binomial probability distribution is used with
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| 18. The expected value of a discrete random variable
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19. Which of the following is not a characteristic of an experiment where the binomial probability distribution is applicable?
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20. The expected value of a random variable is
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21. Which of the following is not a property of a binomial experiment?
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| 22. In a binomial experiment
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23. The Poisson probability distribution is used with
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24. The variance Var(x) for the binomial distribution is given by equation
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25. The expected value for a binomial distribution is given by equation
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26. 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?
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27. When dealing with the number of occurrences of an event over a specified interval of time or space, the appropriate probability distribution is a
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28. The key difference between the binomial and hypergeometric distribution is that, with the hypergeometric distribution
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29. Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is
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30. In a binomial experiment the probability of success is 0.06. What is the probability of two successes in seven trials?
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| 31. Random variable x has the probability function f(x) = X/6, for x = 1, 2 or 3
The expected value of x is
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32. A random variable that may take on any value in an interval or collection of intervals is known as a
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33. The following represents the probability distribution for the daily demand of computers at a local store.
The expected daily demand is
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34. The following represents the probability distribution for the daily demand of computers at a local store.
The probability of having a demand for at least two computers is
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35. 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 exactly two are female?
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36. 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?
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37. 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?
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38. 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 expected number of new clients per month is
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39. 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
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| 40. 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 standard deviation is
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| 41. Forty percent of all registered voters in a national election are female. A random sample of 5 voters is selected.
The probability that the sample contains 2 female voters is
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42. 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
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43. Consider the probability distribution below.
The expected value of x equals
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44. Consider the probability distribution below.
The variance of x equals
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45. 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 expected number of cups of coffee is
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46. 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
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47. The probability that Pete will catch fish when he goes fishing is .8. 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
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48. The probability that Pete will catch fish when he goes fishing is .8. 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
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49. The probability that Pete will catch fish when he goes fishing is .8. Pete is going to fish 3 days next week. Define the random variable x to be the number of days Pete catches fish. The expected number of days Pete will catch fish is
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50. The probability that Pete will catch fish when he goes fishing is .8. Pete is going to fish 3 days next week. Define the random variable x to be the number of days Pete catches fish. The variance of the number of days Pete will catch fish is
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| 51. 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?
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52. 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. The appropriate probability distribution for the random variable is
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53. 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. The expected value of the random variable x is
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54. 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. The probability that there are 8 occurrences in ten minutes is
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55. 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. The probability that there are less than 3 occurrences is
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56. The probability distribution for the daily sales at Michael’s Co. is given below.
The probability of having sales of no more than $60,000 is
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57. 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
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58. 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 will score at least 1 goal?
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| 59.
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
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60. 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 standard deviation for the production is
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61. Thirty-two percent of the students in a management class are graduate students. A random sample of 5 students is selected. Using the binomial probability function, determine the probability that the sample contains exactly 2 graduate students? (Round to three decimal places.)
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62. Seventy percent of the students applying to a university are accepted. Using the binomial probability tables, what is the probability that among the next 18 applicants
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63. General Hospital has noted that they admit an average of 8 patients per hour.
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64. The demand for a product varies from month to month. Based on the past year’s data, the following probability distribution shows MNM company’s monthly demand.
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65. Twenty-five percent of the employees of a large company are minorities. A random sample of 7 employees is selected.
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66. A salesperson contacts eight potential customers per day. From past experience, we know that the probability of a potential customer making a purchase is .10.
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67. A life insurance company has determined that each week an average of seven claims is filed in its Nashville branch.
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68. When a particular machine is functioning properly, 80% of the items produced are non-defective. If three items are examined, what is the probability that one is defective? Use the binomial probability function to answer this question.
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69. Ten percent of the items produced by a machine are defective. Out of 15 items chosen at random,
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70. The student body of a large university consists of 30% Business majors. A random sample of 20 students is selected.
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71. Shoppers enter Hamilton Place Mall at an average of 120 per hour.
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72. A production process produces 90% non-defective parts. A sample of 10 parts from the production process is selected.
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73. Fifty-five percent of the applications received for a particular credit card are accepted. Among the next twelve applications,
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74. The probability distribution of the daily demand for a product is shown below.
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75. In a large corporation, 65% of the employees are male. A random sample of five employees is selected. Use the Binomial probability tables to answer the following questions.
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76. For the following probability distribution:
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77. A random variable x has the following probability distribution:
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78. A company sells its products to wholesalers in batches of 1,000 units only. The daily demand for its product and the respective probabilities are given below.
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79. The records of a department store show that 20% of its customers who make a purchase, return the merchandise in order to exchange it. In the next six purchases,
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80. In a large university, 15% of the students are female. If a random sample of twenty students is selected,
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81. In a southern state, it was revealed that 5% of all automobiles in the state did not pass inspection. Of the next ten automobiles entering the inspection station,
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82. The random variable x has the following probability distribution:
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| 83. The probability function for the number of insurance policies John will sell to a customer is given by
f(X) = .5 – (X/6) for X = 0, 1, or 2
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84. The probability distribution for the rate of return on an investment is
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85. In a large university, 75% of students live in dormitories. A random sample of 5 students is selected. Use the binomial probability tables to answer the following questions.
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86. A manufacturing company has 5 identical machines that produce nails. The probability that a machine will break down on any given day is .1. Define a random variable X to be the number of machines that will break down in a day.
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87. On the average, 6.7 cars arrive at the drive-up window of a bank every hour. Define the random variable x to be the number of cars arriving in any hour.
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88. Twenty-five percent of all resumes received by a corporation for a management position are from females. Fifteen resumes will be received tomorrow.
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89. The average number of calls received by a switchboard in a 30-minute period is 15.
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90. Two percent of the parts produced by a machine are defective. Twenty parts are selected at random. Use the binomial probability tables to answer the following questions.
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91. Compute the hypergeometric probabilities for the following values of n and x. Assume N = 8 and r = 5.
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92. Seven students have applied for merit scholarships. This year 3 merit scholarships were awarded. If a random sample of 3 applications (from the population of 7) is selected,
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93. Determine the probability of being dealt 4 kings in a 5-card poker hand.
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94. Twenty percent of the applications received for a particular position are rejected. What is the probability that among the next fourteen applications,
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95. An insurance company has determined that each week an average of nine claims are filed in their Atlanta branch. What is the probability that during the next week
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96. A local university reports that 10% of their students take their general education courses on a pass/fail basis. Assume that fifteen students are registered for a general education course.
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97. Only 0.02% of credit card holders of a company report the loss or theft of their credit cards each month. The company has 15,000 credit cards in the city of Memphis. Use the Poisson probability tables to answer the following questions. What is the probability that during the next month in the city of Memphis
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98. A production process produces 2% defective parts. A sample of 5 parts from the production is selected. What is the probability that the sample contains exactly two defective parts? Use the binomial probability function and show your computations to answer this question.
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99. A retailer of electronic equipment received six VCRs from the manufacturer. Three of the VCRs were damaged in the shipment. The retailer sold two VCRs to two customers.
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| 100. The management of a grocery store has kept a record of bad checks received per day for a period of 200 days. The data are shown below.
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101. The following probability distribution represents the number of grievances filed per month with the MNM. Corporation.
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102. The number of bad checks received per day by a store and the respective probabilities are shown below.
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103. A cosmetics salesperson, who calls potential customers to sell her products, has determined that 30% of her telephone calls result in a sale. Determine the probability distribution for her next three calls. Note that the next three calls could result in 0, 1, 2, or 3 sales.
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104. The following table shows part of the probability distribution for a random variable x.
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105. The following table shows part of the probability distribution for the number of boats sold daily at Boats Unlimited. It is known that the average number of boats sold daily is 1.57.
Compute the variance and the standard deviation for this probability distribution.
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106. Random variable x has the probability function: f(x) = x/6 for x = 1,2 or 3. The expected value of x is
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| 107. The number of electrical outages in a city varies from day to day. Assume that the number of electrical outages (x) in the city has the following probability distribution.
The mean and the standard deviation for the number of electrical outages (respectively) are
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108. In a binomial experiment the probability of success is 0.06. What is the probability of two successes in seven trials?
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109. 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?
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110. Assume that you have a binomial experiment with p = 0.4 and a sample size of 50. The variance of this distribution is
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111. The binomial probability distribution is most symmetric when
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112. If one wanted to find the probability of ten customer arrivals in an hour at a service station, one would generally use the
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113. The _____ probability function is based in part on the counting rule for combinations.
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114. To compute the probability that in a random sample of n elements, selected without replacement, we will obtain x successes, we would use the
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115. Experimental outcomes that are based on measurement scales such as time, weight, and distance can be described by _____ random variables.
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116. Which of the following properties of a binomial experiment is called the stationarity assumption?
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117. A name closely associated with the binomial probability distribution is
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118. The use of the relative frequency method to develop discrete probability distributions leads to what is called a
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119. Experiments with repeated independent trials will be described by the binomial distribution if
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| 120. The probability distribution for the number of goals the Lions soccer team makes per game is given below.
The expected number of goals per game is
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| 121. 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 will score less than 3 goals?
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| 122. The probability distribution for the daily sales at Michael’s Co. is given below.
The expected daily sales are
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123. In a Poisson probability problem, the rate of defects is one every two hours. To find the probability of three defects in four hours,
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124. A binomial probability distribution with p = .3 is
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125. In a binomial experiment consisting of five trials, the number of different values that x (the number of successes) can assume is
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126. The weight of an object, measured to the nearest gram, is an example of
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127. 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?
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Original price was: $30.00.$20.00Current price is: $20.00.
Original price was: $30.00.$20.00Current price is: $20.00.
Original price was: $30.00.$20.00Current price is: $20.00.
Original price was: $30.00.$20.00Current price is: $20.00.
Original price was: $30.00.$20.00Current price is: $20.00.
Original price was: $30.00.$20.00Current price is: $20.00.
