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Fundamentals of Probability and Statistics for Engineers

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194 <strong>Fundamentals</strong> <strong>of</strong> <strong>Probability</strong> <strong>and</strong> <strong>Statistics</strong> <strong>for</strong> <strong>Engineers</strong>It takes the shape <strong>of</strong> a flat surface bounded by (a 1 ,b 1 ) along the x axis <strong>and</strong>(a 2 ,b 2 ) along the y axis. We have seen an application <strong>of</strong> this bivariate uni<strong>for</strong>mdistribution in Example 3.7 (page 57). Indeed, Example 3.7 gives a typicalsituation in which the distribution given by Equation (7.5) is convenientlyapplied. Let us give one more example.Example 7.2. Problem: a warehouse receives merch<strong>and</strong>ise <strong>and</strong> fills a specificorder <strong>for</strong> the same merch<strong>and</strong>ise in any given day. Suppose that it receivesmerch<strong>and</strong>ise with equal likelihood during equal intervals <strong>of</strong> time over theeight-hour working day <strong>and</strong> likewise <strong>for</strong> the order to be filled. (a) What is theprobability that the order will arrive after the merch<strong>and</strong>ise is received <strong>and</strong> (b)what is the probability that the order will arrive within two hours after thereceipt <strong>of</strong> merch<strong>and</strong>ise?Answer: let X be the time <strong>of</strong> receipt <strong>of</strong> merch<strong>and</strong>ise expressed as a fraction <strong>of</strong>an eight-hour working day, <strong>and</strong> let Y be the time <strong>of</strong> receipt <strong>of</strong> the ordersimilarly expressed. Then 1; <strong>for</strong> 0 x 1;f X …x† ˆ …7:6†0; elsewhere;<strong>and</strong> similarly <strong>for</strong> f Y (y). The joint probability density function (jpdf) <strong>of</strong> X <strong>and</strong> Yis, assuming independence, 1; <strong>for</strong> 0 x 1; <strong>and</strong> 0 y 1;f XY …x; y† ˆ0; elsewhere;<strong>and</strong> is shown in Figure 7.3.f XY (x,y)y111xFigure 7. 3 Joint probability density function, f XY (x,y), <strong>of</strong> X <strong>and</strong> Y in Example 7.2TLFeBOOK

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