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Suppose that the joint p.d.f. of two points X and Y chosen by the process described in Example 3.6.10 is as given by Eq. (3.6.15). Determine (a) the conditional p.d.f.of X for every given value of Y , and (b)\({\rm P}\left( {X > \frac{1}{2}|Y = \frac{3}{4}} \right)\)

Short Answer

Expert verified
  1. Conditional pdf of X for every fiven value of Y is\(\frac{{ - 1}}{{\left( {1 - x} \right)\log \left( {1 - y} \right)}}\)
  2. \({\rm P}\left( {X > \frac{1}{2}|Y = \frac{3}{4}} \right)\) is\(\frac{1}{2}\)

Step by step solution

01

Calculating Conditional pdf

a)

Joint pdf of X, Y will be:

\(f\left( {x,y} \right) = \left\{ \begin{aligned}{l}\frac{1}{{1 - x}}dx\,\,0 < x < y < 1\\0\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,otherwise\end{aligned} \right.\)

Hence, for 0<y<1 and 0<x<y

\(\begin{aligned}{g_1}\left( {x|y} \right) = \frac{{f\left( {x,y} \right)}}{{{f_2}\left( y \right)}}\\ = \frac{{ - 1}}{{\left( {1 - x} \right)\log \left( {1 - y} \right)}}\end{aligned}\)

02

Calculating probabilities

b)

Computing the probability for \(\left( {X > \frac{1}{2}|Y = \frac{3}{4}} \right)\):

When\(Y = \frac{3}{4}\)it follows part (a)

\({g_1}\left( {x|y = \frac{3}{4}} \right) = \left\{ \begin{aligned}{l}\frac{1}{{\left( {1 - x} \right)\log 4}}\,\,\,\,\,\,\,\,for0 < x < \frac{3}{4}\\0\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,otherwise\end{aligned} \right.\)

Therefore

\(\begin{aligned}{\rm P}\left( {X > \frac{1}{2}|Y = \frac{3}{4}} \right) = \int\limits_{\frac{1}{2}}^{\frac{3}{4}} {{g_1}\left( {x|y = \frac{3}{4}} \right)} dx\\ = \frac{{\log 4 - \log 2}}{{\log 4}}\\ = \frac{1}{2}\end{aligned}\)

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Most popular questions from this chapter

In a large collection of coins, the probability X that a head will be obtained when a coin is tossed varies from one coin to another, and the distribution of X in the collection is specified by the following p.d.f.:

\({{\bf{f}}_{\bf{1}}}\left( {\bf{x}} \right){\bf{ = }}\left\{ {\begin{align}{}{{\bf{6x}}\left( {{\bf{1 - x}}} \right)}&{{\bf{for}}\,{\bf{0 < x < 1}}}\\{\bf{0}}&{{\bf{otherwise}}}\end{align}} \right.\)

Suppose that a coin is selected at random from the collection and tossed once, and that a head is obtained. Determine the conditional p.d.f. of X for this coin.

Let X and Y be random variables for which the jointp.d.f. is as follows:

\({\bf{f}}\left( {{\bf{x,y}}} \right){\bf{ = }}\left\{ \begin{array}{l}{\bf{2}}\left( {{\bf{x + y}}} \right)\;\;\;\;\;\;\;\;\;\;{\bf{for}}\;{\bf{0}} \le {\bf{x}} \le {\bf{y}} \le {\bf{1,}}\\{\bf{0}}\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;{\bf{otherwise}}\end{array} \right.\)

Find the p.d.f. of Z = X + Y.

Suppose that \({{\bf{X}}_{\bf{1}}}{\bf{ \ldots }}{{\bf{X}}_{\bf{n}}}\)form a random sample of nobservations from the uniform distribution on the interval(0, 1), and let Y denote the second largest of the observations.Determine the p.d.f. of Y.Hint: First, determine thec.d.f. G of Y by noting that

\(\begin{aligned}G\left( y \right) &= \Pr \left( {Y \le y} \right)\\ &= \Pr \left( {At\,\,least\,\,n - 1\,\,observations\,\, \le \,\,y} \right)\end{aligned}\)

Question:A certain drugstore has three public telephone booths. Fori=0, 1, 2, 3, let\({{\bf{p}}_{\bf{i}}}\)denote the probability that exactlyitelephone booths will be occupied on any Monday evening at 8:00 p.m.; and suppose that\({{\bf{p}}_{\bf{0}}}\)=0.1,\({{\bf{p}}_{\bf{1}}}\)=0.2,\({{\bf{p}}_{\bf{2}}}\)=0.4, and\({{\bf{p}}_{\bf{3}}}\)=0.3. LetXandYdenote the number of booths that will be occupied at 8:00 p.m. on two independent Monday evenings. Determine:

(a) the joint p.f. ofXandY;

(b) Pr(X=Y);

(c) Pr(X > Y ).

Return to the situation described in Example 3.7.18. Let\(x = \left( {{x_1},.....,{x_5}} \right)\)and compute the conditional pdf of Z given X = x directly in one step, as if all of X were observed at the same time.

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