Mathematical Statistics and Data Analysis
3rd Edition
ISBN: 9781111793715
Author: John A. Rice
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Question
Chapter 3.8, Problem 77P
To determine
Find the density of
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Let X and Y be two independent random variables with densities fX(x) = e^(-x), for x>0 and fY(y) = e^y, for y<0, respectively. Determine the density of X+Y.
Let X be a continuous random variable with density function f(x) = 2x, 0 ≤ x ≤ 1. Find the moment-generating function of X, M(t), and verify that E(X) = M′(0) and that E(X2) = M′′(0).
Suppose that the random variables X and Y have a joint density function given by:
f(x,y)={cxy for 0≤x≤2 and 0≤y≤x, 0 otherwise
Find the constant c,
P(Y≥1/2),
P(X < 2, Y >1/2),
P(X < 1),
Determine whether X and Y are independent.
Chapter 3 Solutions
Mathematical Statistics and Data Analysis
Ch. 3.8 - Prob. 1PCh. 3.8 - Prob. 2PCh. 3.8 - Prob. 3PCh. 3.8 - Prob. 4PCh. 3.8 - Prob. 5PCh. 3.8 - Prob. 6PCh. 3.8 - Prob. 7PCh. 3.8 - Prob. 8PCh. 3.8 - Prob. 9PCh. 3.8 - Prob. 10P
Ch. 3.8 - Prob. 11PCh. 3.8 - Prob. 12PCh. 3.8 - Prob. 13PCh. 3.8 - Prob. 14PCh. 3.8 - Prob. 15PCh. 3.8 - Prob. 16PCh. 3.8 - Prob. 17PCh. 3.8 - Prob. 18PCh. 3.8 - Prob. 19PCh. 3.8 - Prob. 20PCh. 3.8 - Prob. 22PCh. 3.8 - Prob. 23PCh. 3.8 - Prob. 24PCh. 3.8 - Prob. 25PCh. 3.8 - Prob. 27PCh. 3.8 - Prob. 28PCh. 3.8 - Prob. 29PCh. 3.8 - Prob. 30PCh. 3.8 - Prob. 31PCh. 3.8 - Prob. 32PCh. 3.8 - Prob. 33PCh. 3.8 - Prob. 34PCh. 3.8 - Prob. 35PCh. 3.8 - Prob. 38PCh. 3.8 - Prob. 39PCh. 3.8 - Prob. 44PCh. 3.8 - Prob. 45PCh. 3.8 - Prob. 46PCh. 3.8 - Prob. 47PCh. 3.8 - Prob. 48PCh. 3.8 - Prob. 50PCh. 3.8 - Prob. 51PCh. 3.8 - Prob. 52PCh. 3.8 - Prob. 53PCh. 3.8 - Prob. 54PCh. 3.8 - Prob. 55PCh. 3.8 - Prob. 56PCh. 3.8 - Prob. 57PCh. 3.8 - Prob. 58PCh. 3.8 - Prob. 60PCh. 3.8 - Prob. 61PCh. 3.8 - Prob. 62PCh. 3.8 - Prob. 63PCh. 3.8 - Prob. 64PCh. 3.8 - Prob. 65PCh. 3.8 - Prob. 66PCh. 3.8 - Prob. 67PCh. 3.8 - Prob. 68PCh. 3.8 - Prob. 69PCh. 3.8 - Prob. 70PCh. 3.8 - Prob. 71PCh. 3.8 - Prob. 72PCh. 3.8 - Prob. 73PCh. 3.8 - Prob. 74PCh. 3.8 - Prob. 75PCh. 3.8 - Prob. 76PCh. 3.8 - Prob. 77PCh. 3.8 - Prob. 78PCh. 3.8 - Prob. 79PCh. 3.8 - Prob. 80PCh. 3.8 - Prob. 81P
Knowledge Booster
Similar questions
- Suppose that the random variables X and Y have a joint density function f(x,y).prove that Cov(X,Y)=0 if E(X|Y=y) does not depend on yarrow_forwardLet X and Y be a pair of continuous random variables with a joint density fx,y(x,y). Assume that fx,y(x,y) = cxy for x greater than or equal to 0, y greater than or equal to 0, and x + y less than or equal to 1. Here c is a constant. Assume that fx,y(x,y) is 0 elsewhere. What is the constant c equal to? With the value of c, what is E[XY]?arrow_forwardUse the rejection method to generate a random variable having density function f(x) = kx1⁄2e−x , x > 0 where k =1/Γ (3/2) =2√πarrow_forward
- (p. 385 # 13). Find the density of Z = X − Y for independent Exp(λ) randomvariables X and Y .arrow_forwardLet (X, Y ) be a random vector with joint density function of the form:f(X,Y )(x, y) = 24xy, 0 < x < 1, 0 < y < 1, x + y < 10 , otherwise(c)Compute the conditional probability P(X < 1/6|Y=1/2) and the conditional expectation E(X | Y = y)arrow_forwardFind the moment generating function MU(t) for the standard uniform random variable U (the continuous random variable whose density function is 1 on [0,1] and 0 elsewhere)arrow_forward
- Consider the function:f(x) = kx 2 ≤ X ≤ 4. a) Calculate the value of k that makes this density that of a continuous random variable. b) Calculate P[2.5 ≤ X ≤ 3]. c) Find P[X = 2.5]. d) Calculate P[2.5 < X ≤ 3].arrow_forwardFind the moment-generating function of the continuous random variable X whose probability density is given by f(x) = 1 for 0 < x < 1 0 elsewhere and use it to find μ’1,μ’2, and σ^2.arrow_forwardSuppose Y1,Y2,··· ,Yn are i.i.d. continuous uniform(0,1) distributed.(a) Prove that the kth-order statistic, Y(k), has Beta distribution with α = k and β = n−k+ 1.(b) What is the distribution of the median of Y1,Y2,··· ,Yn when n is an odd integer?(c) Find the joint density of the middle two of Y(1),Y(2),··· ,Y(n) when n is an even integerarrow_forward
- The random vector (X, Y ) has the following joint probability density function:f(X,Y )(x, y) = 4xye^−(x2+y2), x > 0, y > 0,0 , otherwiseLet Z =√(X^2 + Y ^2) . Find the probability density of the random variable Z.arrow_forwardLet X and Y be a pair of continuous random variables with a joint density fx,y(x,y). Assume that fx,y(x,y) = cxy for x greater than or equal to 0, y greater than or equal to 0, and x + y less than or equal to 1. Here c is a constant. Assume that fx,y(x,y) is 0 elsewhere. C = 24 What is the value of conditional density fy|x (y | 1/2)? With the conditional density of Y given X, what is E[ Y | X = 1/2]?arrow_forwardLet f(x, y) = C/8, 0 ≤ y ≤ 4, y ≤ x ≤ y + 2, be the joint pdf of X and Ya) Find the value of C so that f(x,y) is a valid joint p.d.fb) Find the marginal probability density function of X, fX(x)c) Compute μX , μY , Cov(X, Y), and ρ.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Algebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:9781133382119
Author:Swokowski
Publisher:Cengage