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Fundamentals of Probability and Statistics for Engineers

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188 <strong>Fundamentals</strong> <strong>of</strong> <strong>Probability</strong> <strong>and</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Engineers</strong>6.26 Each air traffic controller at an airport is given the responsibility <strong>of</strong> monitoring atmost 20 take<strong>of</strong>fs <strong>and</strong> l<strong>and</strong>ings per hour. During a given period, the average rate <strong>of</strong>take<strong>of</strong>fs <strong>and</strong> l<strong>and</strong>ings is 1 every 2 minutes. Assuming Poisson arrivals <strong>and</strong> departures,determine the probability that 2 controllers will be needed in this timeperiod.6.27 The number <strong>of</strong> vehicles crossing a certain point on a highway during a unit timeperiod has a Poisson distribution with parameter . A traffic counter is used torecord this number but, owing to limited capacity, it registers the maximumnumber <strong>of</strong> 30 whenever the count equals or exceeds 30. Determine the pmf <strong>of</strong> Yif Y is the number <strong>of</strong> vehicles recorded by the counter.6.28 As an application <strong>of</strong> the Poisson approximation to the binomial distribution,estimate the probability that in a class <strong>of</strong> 200 students exactly 20 will have birthdayson any given day.6.29 A book <strong>of</strong> 500 pages contains on average 1 misprint per page. Estimate theprobability that:(a) A given page contains at least 1 misprint.(b) At least 3 pages will contain at least 1 misprint.6.30 Earthquakes are registered at an average frequency <strong>of</strong> 250 per year in a givenregion. Suppose that the probability is 0.09 that any earthquake will have amagnitude greater than 5 on the Richter scale. Assuming independent occurrences<strong>of</strong> earthquakes, determine the pmf <strong>of</strong> X, the number <strong>of</strong> earthquakes greater than 5on the Richter scale per year.6.31 Let X be the number <strong>of</strong> accidents in which a driver is involved in t years. Inproposing a distribution <strong>for</strong> X, the ‘accident likelihood’ varies from driver todriver <strong>and</strong> is considered as a r<strong>and</strong>om variable. Suppose that the conditional pmfp X (xj) is given by the Poisson distribution,p X …kj† ˆ…t†k e t; k ˆ 0; 1; 2; ...;k!<strong>and</strong> suppose that the probability density function (pdf) <strong>of</strong>(a, b > 0)8 a a a 1>:0;elsewhere,is <strong>of</strong> the <strong>for</strong>mwhere(a) is the gamma function, defined by…a† ˆZ 1x a01 e x dx:Show that the pmf <strong>of</strong> X has a negative binomial distribution in the <strong>for</strong>mp X …k† ˆ…a ‡ k†k! …a†a abta ‡ bt k; k ˆ 0; 1; 2; ...:a ‡ btTLFeBOOK

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