/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q7E Suppose that a random variable ... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Suppose that a random variableXhas the uniform distribution on the interval [−2,8]. Find the p.d.f. ofXand the value of Pr(0<X <7).

Short Answer

Expert verified

The probability density function is \(\) \(f\left( x \right) = \left\{ \begin{array}{l}\frac{1}{{10}},\;for\; - 2 < x < 8\\0,\;\;\;\,\;otherwise\end{array} \right.\)

The required probability of X is 0.7.

Step by step solution

01

Given information

The random variable X follows the uniform distribution on the interval [-2,8].

02

Compute the probability

The probability density function of a continuous uniform distribution over the support [a,b] is given as,

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

Since X follows the uniform distribution with \(a = - 2\) and \(b = 8\), the probability density function is,

\(\begin{aligned}{}f\left( x \right)& = \frac{1}{{8 - \left( { - 2} \right)}}\\ &= \frac{1}{{10}}\end{aligned}\)

The probability that X falls between 0 and 7 is computed as,

\(\begin{aligned}{}P\left( {0 < X < 7} \right) &= \int\limits_0^7 {\frac{1}{{10}}dx} \\ &= \left( {\frac{x}{{10}}} \right)_0^7\\ &= \frac{7}{{10}}\\& = 0.7\end{aligned}\)

Therefore, the required probability of X is 0.7.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Question: Suppose that the joint p.d.f. of two random variablesXandYis as follows:

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

Determine (a) the value of the constantc;

\(\begin{array}{l}\left( {\bf{b}} \right)\,{\bf{Pr}}\left( {{\bf{0}} \le {\bf{X}} \le {\bf{1/2}}} \right){\bf{;}}\,\left( {\bf{c}} \right)\,{\bf{Pr}}\left( {{\bf{Y}} \le {\bf{X + 1}}} \right)\\\left( {\bf{d}} \right)\,{\bf{Pr}}\left( {{\bf{Y = }}{{\bf{X}}^{\bf{2}}}} \right)\end{array}\)

Return to Example 3.10.13. Prove that the stationary distributions described there are the only stationary distributions for that Markov chain.

Question:Suppose that the joint p.d.f. of X and Y is as follows:

\(f\left( {x,y} \right) = \left\{ \begin{array}{l}24xy for x \ge 0,y \ge 0, and x + y \le 1,\\0 otherwise\end{array} \right.\).

Are X and Y independent?

Question:Suppose thatXandYhave a continuous joint distribution for which the joint p.d.f. is

\({\bf{f}}\left( {{\bf{x,y}}} \right){\bf{ = }}\left\{ \begin{array}{l}{\bf{k}}\;{\bf{for}}\;{\bf{a}} \le {\bf{x}} \le {\bf{b}}\;{\bf{and}}\;{\bf{c}} \le {\bf{y}} \le {\bf{d}}\\{\bf{0}}\;{\bf{otherwise}}\end{array} \right.\)

wherea <b,c < d, andk >0.

Find the marginal distributions ofXandY.

Start with the joint distribution of treatment group and response in Table 3.6 on page 138. For each treatment group, compute the conditional distribution of response given the treatment group. Do they appear to be very similar or quite different?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.