QUESTION 3 Three 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? 0.0003 0.0082 0.0077 O 0.0008 QUESTION 4 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 O 20. 64. O 8. O 40. QUESTION 5 _ distribution. 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 _ normal O binomial O Poisson O uniform QUESTION 6 The expected value of a discrete random variable is the most likely or highest probability value for the random variable. will always be one of the values x can take on, although it may not be the highest probability value for the random variable. is the average value for the random variable over many repeats of the experiment. is the value it is expected to assume in the next trial. QUESTION 7 The variance Var(x) for the binomial distribution is given by equation O np(n - 1) O np(1 - np). 0 n( 1 - p ) . O np(1 - p ).QUESTION 8 When dealing with the number of occurrences of an event over a specified interval of time or space, the appropriate probability distribution is a _ _ distribution. binomial O Poisson normal O hypergeometric probability QUESTION 9 The key difference between the binomial and hypergeometric distribution is that, with the hypergeometric distribution the O probability of success must be less than 0.5, probability of success changes from trial to trial. trials are independent of each other. random variable is continuous. QUESTION 10 In a binomial experiment the probability of success is 0.05. What is the probability of two successes in seven trials? 0.0036 0.0000 0.0406 0.3667 QUESTION 11 Random variable x has the probability function f(x) = X/6, for x = 1, 2 or 3 The expected value of x is 0.333. O 0.500. 2.000. O 2.333. QUESTION 12 The following represents the probability distribution for the daily demand of computers at a local store. Demand Probability 0.15 0.25 0.35 02QUESTION 12 The following represents the probability distribution for the daily demand of computers at a local store. Demand Probability 0.15 0.25 0.35 0.2 0.05 The expected daily demand is O 1.0. O 1.75. O 2.0. O 1.09. QUESTION 13 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. Number of New Clients Probability 0.05 0.10 0.15 3 0.30 4 0.25 0.10 0.05 The variance is O 1.45. O 2.09. O 3.1 . O 9.61. QUESTION 14 Forty-four 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 O 0.0551. 0.9450. O 0.4400. 0.1649.QUESTION 15 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 discrete. continuous. either discrete or continuous depending on how the interval is defined. binomial. QUESTION 16 To compute the probability that in a random sample of n elements, selected without replacement, we will obtain x successes, we would use the _ probability distribution. binomial Poisson hypergeometric exponential QUESTION 17 The mean number of pages per day written by an author is 27. What is the probability this author writes 33 pages on a particular day? Assume a Poisson distribution for this scenario. O 0.0372. 0.9628. O 0.4277. O 0.9572. QUESTION 18 A binomial probability distribution with p = .3 is O negatively skewed. symmetric. positively skewed. multi-modal. QUESTION 19 In a binomial experiment consisting of five trials, the number of different values that x (the number of successes) can assume is O 2 . 0 6. O 10.QUESTION 20 The probability distribution for the daily sales at Michael's Co. is given below. Daily Sales In $1,000s) Probability 40 0.1 50 0.4 60 0.3 70 02 The probability of having sales of at least $50,000 is 0.50 O 0.10. 0.30. O 0.90. QUESTION 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 0.0659. 0.0948. 0.1016 0.1239. QUESTION 22 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 0.880. 0.038. 0.040. 0.960.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. Cups of Coffee Frequency 0 700 900 500 400 2,500 The variance of the number of cups of coffee is 1.06 1.03. O 2.25. O 1.24. QUESTION 24 Consider the probability distribution below. 10 .2 20 4 30 3 1 The expected value of x equals O 23. O 25. 30. O 100. QUESTION 25 Forty-four 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 0.6600 0.6114. 0.5000. 0.3400