Chapter 5: Problem 39
Let \(x\) be a Poisson random variable with mean \(\mu=2 .\) Calculate these probabilities: a. \(P(x=0)\) b. \(P(x=1)\) c. \(P(x>1)\) d. \(P(x=5)\)
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Chapter 5: Problem 39
Let \(x\) be a Poisson random variable with mean \(\mu=2 .\) Calculate these probabilities: a. \(P(x=0)\) b. \(P(x=1)\) c. \(P(x>1)\) d. \(P(x=5)\)
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How do you survive when there's no time to eat-fast food, no food, a protein bar, candy? A Snapshot in USA Today indicates that \(36 \%\) of women aged \(25-55\) say that, when they are too busy to eat, they get fast food from a drive-thru. \({ }^{14} \mathrm{~A}\) random sample of 100 women aged \(25-55\) is selected. a. What is the average number of women who say they eat fast food when they're too busy to eat? b. What is the standard deviation for the number of women who say they eat fast food when they're too busy to eat? c. If 49 of the women in the sample said they eat fast food when they're too busy to eat, would this be an unusual occurrence? Explain.
A candy dish contains five blue and three red candies. A child reaches up and selects three candies without looking. a. What is the probability that there are two blue and one red candies in the selection? b. What is the probability that the candies are all red? c. What is the probability that the candies are all blue?
Suppose that \(50 \%\) of all young adults prefer McDonald's to Burger King when asked to state a preference. A group of 100 young adults were randomly selected and their preferences recorded. a. What is the probability that more than 60 preferred McDonald's? b. What is the probability that between 40 and 60 (inclusive) preferred McDonald's? c. What is the probability that between 40 and 60 (inclusive) preferred Burger King?
Records show that \(30 \%\) of all patients admitted to a medical clinic fail to pay their bills and that eventually the bills are forgiven. Suppose \(n=4\) new patients represent a random selection from the large set of prospective patients served by the clinic. Find these probabilities: a. All the patients' bills will eventually have to be forgiven. b. One will have to be forgiven. c. None will have to be forgiven.
In a food processing and packaging plant, there are, on the average, two packaging machine breakdowns per week. Assume the weekly machine breakdowns follow a Poisson distribution. a. What is the probability that there are no machine breakdowns in a given week? b. Calculate the probability that there are no more than two machine breakdowns in a given week.
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