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

follows:\(f\left( x \right) = \left\{ \begin{array}{l}\frac{1}{2}x\,\,\,\,\,\,\,\,for\,0 < x < 2\\0\,\,\,\,\,\,\,\,\,\,\,\,otherwise\end{array} \right.\)

Also, suppose that \(Y = X\left( {2 - X} \right)\) Determine the cdf and the pdf of Y .

Short Answer

Expert verified

Cdf of Y is

\(G\left( y \right) = \left\{ \begin{array}{l}0\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,y < 2\\\frac{1}{{36}}\,\,\,\,\,\,\,\,\,\,\,\,z \le y < 8\\1\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,if\,y \ge 8\end{array} \right.\)

Pdf of Y is \(f\left( y \right) = \left\{ \begin{array}{l} = \frac{1}{{18}}\left( {y - 2} \right)\,\,if\,\,z \le y < 8\\\,\,0\,\,\,\,\,\,\,if\,y < 2\,\,or\,y \ge 8\,\,\end{array} \right.\)

Step by step solution

01

Calculating the CDF

First we have to find out the cdf of X

\(\begin{aligned}F\left( x \right) = \int\limits_{ - \infty }^x {f\left( z \right)dz} \\\left\{ \begin{aligned}if\,x < 0\,\,\,\,\,\,F\left( x \right) &= 0\\x \in \left[ {0,2} \right)\,\,\,\,\,F\left( x \right) &= \int\limits_{ - \infty }^x {F\left( z \right)dz} \\\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, &= \int\limits_0^x {\frac{z}{2}dz} \\\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, &= \left. {\frac{1}{2} \times \frac{{{z^2}}}{2}} \right|_0^x\\\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\, &= \frac{{{x^2}}}{4}\\x \ge 2\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,F\left( x \right) &= 1\end{aligned} \right.\end{aligned}\)

Finding cdf of Y using cdf of X

\(\begin{aligned}G\left( y \right) &= {\rm P}\left( {Y \le y} \right)\\ &= {\rm P}\left( {3x + 2 \le y} \right)\\ &= {\rm P}\left( {x \le \frac{1}{3}\left( {y - 2} \right)} \right)\end{aligned}\)

\(G\left( y \right) = F\left( {\frac{1}{3}\left( {y - 2} \right)} \right)\)

If \(\frac{1}{3}\left( {y - 2} \right) < 0\,\,or\,y < 2\,\, \Rightarrow G\left( y \right) = 0\,\,or\,y < 2\)

If \(0 \le \frac{1}{3}\left( {y - z} \right)\,\,or\,\,z \le y < 8 \Rightarrow G\left( y \right) = \frac{1}{{36}}{\left( {y - z} \right)^2}\)

If \(\frac{1}{3}\left( {y - 2} \right) \ge 2\,or\,y \ge 8\, \Rightarrow G\left( y \right) = 1\)

Therefore, cdf of y is

\(G\left( y \right) = \left\{ \begin{array}{l}0\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,y < 2\\\frac{1}{{36}}\,\,\,\,\,\,\,\,\,\,\,\,z \le y < 8\\1\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,\,if\,y \ge 8\end{array} \right.\)

02

Calculating the CDF 

Pdf of Y is

\(\begin{aligned}f\left( y \right) &= \frac{{dG\left( y \right)}}{{dy}}\\ &= \frac{1}{{36}}\left( {2y - 4} \right)\end{aligned}\)

\(\) \(f\left( y \right) = \left\{ \begin{aligned} = \frac{1}{{18}}\left( {y - 2} \right)\,\,if\,\,z \le y < 8\\\,\,0\,\,\,\,\,\,\,if\,y < 2\,\,or\,y \ge 8\,\,\end{aligned} \right.\)

Hence the required pdf is \(f\left( y \right) = \left\{ \begin{array}{l} = \frac{1}{{18}}\left( {y - 2} \right)\,\,if\,\,z \le y < 8\\\,\,0\,\,\,\,\,\,\,if\,y < 2\,\,or\,y \ge 8\,\,\end{array} \right.\)

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Most popular questions from this chapter

Question:For the joint pdf in example 3.4.7,determine whether or not X and Y are independent.

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

\(f\left( x \right) = \left\{ \begin{array}{l}3{x^2}\,\,for\,0 < x < 1\\0\,\,otherwise\end{array} \right.\)

Also, suppose that\(Y = 1 - {X^2}\) . Determine the p.d.f. of 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: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?

Suppose that a box contains a large number of tacks and that the probability X that a particular tack will land with its point up when it is tossed varies from tack to tack in accordance with the following p.d.f.:

\(f\left( x \right) = \left\{ \begin{array}{l}2\left( {1 - x} \right)\;\;\;\;\;for\;0 < x < 1\\0\;\;\;\;\;\;\;\;\;\;\;\;\;otherwise\end{array} \right.\)

Suppose that a tack is selected at random from the box and that this tack is then tossed three times independently. Determine the probability that the tack will land with its point up on all three tosses.

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