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Suppose that a point (X, Y) is chosen at random from the disk S defined as follows:

\(S = \left\{ {\left( {x,y} \right) :{{\left( {x - 1} \right)}^2} + {{\left( {y + 2} \right)}^2} \le 9} \right\}.\) Determine (a) the conditional pdf of Y for every given value of X, and (b) \({\rm P}\left( {Y > 0|x = 2} \right)\)

Short Answer

Expert verified
  1. The conditional pdf of Y for every given value of x is\(\frac{1}{9}{\left( {9 - {{\left( {x - 1} \right)}^2}} \right)^{ - {\raise0.7ex\hbox{$1$} \!\mathord{\left/
  2. {\vphantom {1 2}}\right.\kern-\nulldelimiterspace}
  3. \!\lower0.7ex\hbox{$2$}}}}\)
  4. \({\rm P}\left( {Y > 0|x = 2} \right)\) is\(\frac{{2 - \sqrt 2 }}{4}\)

Step by step solution

01

Given information

A point X,Y is chosen at random from disk s

\(S = \left\{ {\left( {x,y} \right) :{{\left( {x - 1} \right)}^2} + {{\left( {y + 2} \right)}^2} \le 9} \right\}.\)

02

Calculating Probabilities.

Joint pdf of X and Y is positive for all points inside the circle S.

Area of circle is\(9\pi \)

Joint pdf of X and Y is constant over S

Pdf of x, y will be:

\(f\left( {x,y} \right) = \left\{ \begin{aligned}{l}\frac{1}{{9\pi }}\,\,\,\,\,\,\,for\left( {x,y} \right) \in S\\0\,\,\,\,\,\,\,\,\,\,\,otherwise\end{aligned} \right.\)

Hence, X can lie between -2 and 4.

In short, for-2<x<4

\(\begin{aligned}{f_1}\left( x \right) = \int\limits_{ - 2 - {{\left( {{{\left( {x - 1} \right)}^2}} \right)}^{\frac{1}{2}}}}^{ - 2 + {{\left( {{{\left( {x - 1} \right)}^2}} \right)}^{\frac{1}{2}}}} {\frac{1}{{9\pi }}} dy\\ = \frac{2}{{9\pi }}{\left( {9 - {{\left( {x - 1} \right)}^2}} \right)^{{\raise0.7ex\hbox{$1$} \!\mathord{\left/

{\vphantom {1 2}}\right.\kern-\nulldelimiterspace}

\!\lower0.7ex\hbox{$2$}}}}\end{aligned}\)

03

Calculating Conditional pdf

a)

For\( - 2 < x < 4\)and\( - 2 - {\left( {9 - {{\left( {x - 1} \right)}^2}} \right)^{\frac{1}{2}}} < y < - 2 + {\left( {9 - {{\left( {x - 1} \right)}^2}} \right)^{\frac{1}{2}}}\)

Thus,

\(\begin{aligned}{g_2}\left( {y|x} \right) = \frac{{f\left( {x,y} \right)}}{{{f_1}\left( x \right)}}\\ = \frac{1}{9}{\left( {9 - {{\left( {x - 1} \right)}^2}} \right)^{ - {\raise0.7ex\hbox{$1$} \!\mathord{\left/

{\vphantom {1 2}}\right.\kern-\nulldelimiterspace}

\!\lower0.7ex\hbox{$2$}}}}\end{aligned}\)

04

Calculating probability for part (b)

b)

When x=2 it follows from part a.

\({g_2}\left( {y|x = 2} \right) = \left\{ \begin{aligned}{l}\frac{1}{{2\sqrt 8 }}\,\,\,{\rm{for}} - 2 - \sqrt 8 < y < - 2 + \sqrt 8 \\0\,\,\,\,\,\,\,\,\,\,{\rm{otherwise}}\end{aligned} \right.\)

Therefore

\(\begin{aligned}{\rm P}\left( {Y > 0|x = 2} \right) = \int\limits_0^{ - 2 + \sqrt 8 } {{g_2}\left( {y|x = 2} \right)dy} \\ = \frac{{ - 2 + \sqrt 8 }}{{2\sqrt 8 }}\\ = \frac{{2 - \sqrt 2 }}{4}\end{aligned}\)

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Most popular questions from this chapter

Question:Suppose that two persons make an appointment to meet between 5 p.m. and 6 p.m. at a certain location, and they agree that neither person will wait more than 10 minutes for the other person. If they arrive independently at random times between 5 p.m. and 6 p.m. what is the probability that they willmeet?

Question:Suppose thatXandYare random variables such that(X, Y)must belong to the rectangle in thexy-plane containing all points(x, y)for which 0≤x≤3 and 0≤y≤4. Suppose also that the joint c.d.f. ofXandYat every point

(x,y) in this rectangle is specified as follows:

\({\bf{F}}\left( {{\bf{x,y}}} \right){\bf{ = }}\frac{{\bf{1}}}{{{\bf{156}}}}{\bf{xy}}\left( {{{\bf{x}}^{\bf{2}}}{\bf{ + y}}} \right)\)

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Question:Suppose thatXandYhave a discrete joint distributionfor which the joint p.f. is defined as follows:

\({\bf{f}}\left( {{\bf{x,y}}} \right){\bf{ = }}\left\{ \begin{array}{l}\frac{{\bf{1}}}{{{\bf{30}}}}\left( {{\bf{x + y}}} \right)\;{\bf{for}}\;{\bf{x = 0,1,2}}\;{\bf{and}}\;{\bf{y = 0,1,2,3}}\\{\bf{0}}\;{\bf{otherwise}}\end{array} \right.\)

a. Determine the marginal p.f.’s ofXandY.

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Suppose that thenrandom variablesX1. . . , Xnform arandom sample from a discrete distribution for which thep.f. is f. Determine the value of Pr(X1 = X2 = . . .= Xn).

Suppose that the p.d.f. of a random variable X is as follows:

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