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Please see the attached image for the full list of questions. 59. A production process produces 2% defective parts. A sample of five parts from

Please see the attached image for the full list of questions.

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59. 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. 0.0004 0.0038 0.10 0.02 0. The key difference between the binomial and hypergeometric distribution is that with the hypergeometric distribution the probability of success must be less than 0.5 b . the probability of success changes from trial to trial C. the trials are independent of each other d. the random variable is continuous 71. A random variable that may take on any value in an interval or collection of intervals is known as a continuous random variable discrete random variable continuous probability function finite probability function Exhibit 5-1 The following represents the probability distribution for the daily demand of computers at a local store. Demand Probability 0.1 0.2 0.3 AWN 0.2 0 2 72. Refer to Exhibit 5-1. The probability of having a demand for at least two computers is a. 0.7 0.3 0.4 1.0 Exhibit 5-4 Forty percent of all registered voters in a national election are female. A random sample of 5 voters is selected. 3. Refer to Exhibit 5-4. The probability that there are no females in the sample is a. 0.0778 b . 0.7780 C. 0.500 0.3456 Exhibit 5-6 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 700 900 N N 600 300 2,500 74. Refer to Exhibit 5-6. The variance of the number of cups of coffee is a . .96 .9798 1 2. Exhibit 5-7 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. 75. Refer to Exhibit 5-7. The probability that Pete will catch fish on exactly one day is .008 .096 .104 d. 76. Refer to Exhibit 5-7. The expected number of days Pete will catch fish is a. .6 .8 2.4 Exhibit 5-9 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 0.2 17. Refer to Exhibit 5-9. The expected daily sales are a. $55,000 $56,000 $50,000 $70,000 Exhibit 5-13 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. Production Per Month Probability f(x) 0.01 0.04 0.10 0.80 0.05 78. Refer to Exhibit 5-13. the expected monthly production level is a. 1.00 4.00 3.00 3.84

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