Chapter 5: Problem 5
Evaluate these binomial probabilities: a. \(C_{2}^{8}(.3)^{2}(.7)^{6}\) b. \(C_{0}^{4}(.05)^{0}(.95)^{4}\) c. \(C_{3}^{10}(.5)^{3}(.5)^{7}\) d. \(C_{1}^{7}(.2)^{1}(.8)^{6}\)
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Chapter 5: Problem 5
Evaluate these binomial probabilities: a. \(C_{2}^{8}(.3)^{2}(.7)^{6}\) b. \(C_{0}^{4}(.05)^{0}(.95)^{4}\) c. \(C_{3}^{10}(.5)^{3}(.5)^{7}\) d. \(C_{1}^{7}(.2)^{1}(.8)^{6}\)
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The number \(x\) of people entering the intensive care unit at a particular hospital on any one day has a Poisson probability distribution with mean equal to five persons per day. a. What is the probability that the number of people entering the intensive care unit on a particular day is two? Less than or equal to two? b. Is it likely that \(x\) will exceed \(10 ?\) Explain.
Bacteria in Water Samples If a drop of water is placed on a slide and examined under a microscope, the number \(x\) of a particular type of bacteria present has been found to have a Poisson probability distribution. Suppose the maximum permissible count per water specimen for this type of bacteria is five. If the mean count for your water supply is two and you test a single specimen, is it likely that the count will exceed the maximum permissible count? Explain.
Find the mean and standard deviation for a binomial distribution with \(n=100\) and these values of \(p:\) a. \(p=.01\) b. \(p=.9\) c. \(p=.3\) d. \(p=.7\) e. \(p=.5\)
Parents who are concerned that their children are "accident prone" can be reassured, according to a study conducted by the Department of Pediatrics at the University of California, San Francisco. Children who are injured two or more times tend to sustain these injuries during a relatively limited time, usually 1 year or less. If the average number of injuries per year for school- age children is two, what are the probabilities of these events? a. A child will sustain two injuries during the year. b. A child will sustain two or more injuries during the year. c. A child will sustain at most one injury during the year.
Let \(x\) be a Poisson random variable with mean \(\mu=2.5 .\) Use Table 2 in Appendix I to calculate these probabilities: a. \(P(x \geq 5)\) b. \(P(x<6)\) c. \(P(x=2)\) d. \(P(1 \leq x \leq 4)\)
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