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Suppose that the p.d.f. of a random variableXis as follows:

\(f\left( x \right) = \left\{ \begin{array}{l}\frac{1}{8}x\;\;for\;0 \le x \le 4\\0\;\;\;\;otherwise\end{array} \right.\)

a. Find the value oftsuch that Pr(X≤t)=1/4.

b. Find the value oftsuch that Pr(X≥t)=1/2.

Short Answer

Expert verified

a. The value of t is 2.

b. The value of t is \(\sqrt 8 \).

Step by step solution

01

Given information

The probability density function of a random variable X is given as,

\(f\left( x \right) = \left\{ \begin{array}{l}\frac{1}{8}x\;\;\;for\;0 \le x \le 4,\\0\;\;\;\;\;\;\;\;\;\;otherwise\end{array} \right.\)

02

Compute the value of t

The probability in general for a continuous variable is the value of integral over the given interval.

a.

The required value of t is computed as,

\(\begin{aligned}{c}\Pr \left( {X \le t} \right) &= \frac{1}{4}\\\int\limits_0^t {\frac{1}{8}xdx} &= \frac{1}{4}\\\frac{1}{8}\left( {\frac{{{x^2}}}{2}} \right)_0^t &= \frac{1}{4}\\\frac{1}{{16}}{t^2} &= \frac{1}{4}\\t &= \pm 2\end{aligned}\)

Therefore, the value of t is 2.

b.

The required value of t is computed as,

\(\begin{aligned}{c}\Pr \left( {X \ge t} \right) &= \frac{1}{2}\\\int\limits_t^4 {\frac{1}{8}xdx} &= \frac{1}{2}\\\frac{1}{8}\left( {\frac{{{x^2}}}{2}} \right)_t^4 &= \frac{1}{2}\\\frac{1}{{16}}\left( {16 - {t^2}} \right) &= \frac{1}{2}\\{t^2} &= 8\\t &= \pm \sqrt 8 \end{aligned}\)

Therefore, the value of t is \(\sqrt 8 \).

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Most popular questions from this chapter

Suppose that three random variables X1, X2, and X3 have a continuous joint distribution with the following joint p.d.f.:

\({\bf{f}}\left( {{{\bf{x}}_{\bf{1}}}{\bf{,}}{{\bf{x}}_{\bf{2}}}{\bf{,}}{{\bf{x}}_{\bf{3}}}} \right){\bf{ = }}\left\{ {\begin{align}{}{{\bf{c}}\left( {{{\bf{x}}_{\bf{1}}}{\bf{ + 2}}{{\bf{x}}_{\bf{2}}}{\bf{ + 3}}{{\bf{x}}_{\bf{3}}}} \right)}&{{\bf{for0}} \le {{\bf{x}}_{\bf{i}}} \le {\bf{1}}\,\,\left( {{\bf{i = 1,2,3}}} \right)}\\{\bf{0}}&{{\bf{otherwise}}{\bf{.}}}\end{align}} \right.\)

Determine\(\left( {\bf{a}} \right)\)the value of the constant c;

\(\left( {\bf{b}} \right)\)the marginal joint p.d.f. of\({{\bf{X}}_{\bf{1}}}\)and\({{\bf{X}}_{\bf{3}}}\); and

\(\left( {\bf{c}} \right)\)\({\bf{Pr}}\left( {{{\bf{X}}_{\bf{3}}}{\bf{ < }}\frac{{\bf{1}}}{{\bf{2}}}\left| {{{\bf{X}}_{\bf{1}}}{\bf{ = }}\frac{{\bf{1}}}{{\bf{4}}}{\bf{,}}{{\bf{X}}_{\bf{2}}}{\bf{ = }}\frac{{\bf{3}}}{{\bf{4}}}} \right.} \right){\bf{.}}\)

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.

Suppose that a random variableXhas a discrete distribution

with the following p.f.:

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

Find the value of the constantc.

Suppose that a coin is tossed repeatedly until a head is obtained for the first time, and let X denote the number of tosses that are required. Sketch the c.d.f of X.

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

f(x) = {c/(1-x)1/2 for 0 <x< 1,

0 otherwise.

a. Find the value of the constant c and sketch the p.d.f.

b. Find the value of Pr(X ≤ 1/2).

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