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Question:In Example 3.4.5, compute the probability that water demandXis greater than electric demandY.

Short Answer

Expert verified

The probability that water demandXis greater than electric demandY is 0.6350.

Step by step solution

01

Given information

Referring to example 3.4.5, the joint probability of water demand X and the electric demand Y is as follows,

\(f\left( {x,y} \right) = \left\{ \begin{array}{l}\frac{1}{{29204}}\;if\;4 \le x \le 200\;and\;1 \le y \le 150\\0\;otherwise\end{array} \right.\)

02

Define the region

Referring to example 3.4.5, considering Y<X and Y<150, the region of X and Y can be written as \(\left\{ {\left( {x,y} \right):4 < x < 200,1 < y < \min \left( {x,150} \right)} \right\}\).

03

Calculate the probability

The probability that the water demand is greater than electric demand is,

\(\begin{array}{c}\Pr \left( {X > Y} \right) = \int\limits_4^{200} {\int\limits_1^{\min \left( {x,150} \right)} {f\left( {x,y} \right)dydx} } \\ = \int\limits_4^{200} {\int\limits_1^{\min \left( {x,150} \right)} {\frac{1}{{29204}}dydx} } \\ = \int\limits_4^{200} {\frac{{\min \left\{ {\left( {x - 1} \right),149} \right\}}}{{29204}}dx} \\ = \int\limits_4^{150} {\frac{{\left( {x - 1} \right)}}{{29204}}dx + \int\limits_{150}^{200} {\frac{{149}}{{29204}}dx} } \\ = \left. {\frac{{{{\left( {x - 1} \right)}^2}}}{{2 \times 29204}}} \right|_4^{150} + \frac{{50 \times 149}}{{29204}}\\ = \frac{{{{149}^2} - {3^2}}}{{58408}} + \frac{{7450}}{{29204}}\\ = 0.6350\end{array}\)

Thus, the required probability is 0.6350

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Most popular questions from this chapter

Suppose that\({X_1}....{X_n}\)are i.i.d. random variables, each having the following c.d.f.:\(F\left( x \right) = \left\{ \begin{array}{l}0\,\,\,\,\,\,\,\,\,\,\,\,\,\,for\,x \le 0\\1 - {e^{ - x}}\,\,\,for\,x > 0\end{array} \right.\)

Let\({Y_1} = min\left\{ {{X_1},{X_2}..{X_n}} \right\}\)and\({Y_n} = max\left\{ {{X_{1,}}{X_2}..{X_n}} \right\}\)Determine the conditional p.d.f. of\({Y_1}\)given that\({Y_n} = {y_n}\)

Suppose that three boys A, B, and C are throwing a ball from one to another. Whenever A has the ball, he throws it to B with a probability of 0.2 and to C with a probability of 0.8. Whenever B has the ball, he throws it to A with a probability of 0.6 and to C with a probability of 0.4. Whenever C has the ball, he is equally likely to throw it to either A or B.

a. Consider this process to be a Markov chain and construct the transition matrix.

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