Suppose that joint pdf for Y1 and Y2 can be modeled by f(y1, y2) = ( 1 0 ≤ y1 ≤ c, 0 ≤ y2 ≤ 1, 2y2 ≤ y1 0 elsewhere
(a) Find the value of c to make this a legitimate joint probability distribution.
(b) Find P(Y1 ≥ 3Y2). This is the probability the cleaning device reduces the amount of pollutant by one-third or more.
Suppose that joint pdf for Y1 and Y2 can be modeled by f(y1, y2) = (...
An environmental engineer measures the amount (by weight of particulate pollution in air samples of a certain volume collected over two smokestacks at a coal-operated power plant. One of the stacks is equipped with a cleaning device. Let Y1 denote the amount of pollutant per sample collected above the stack that has no cleaning device and let Y2 denote the amount of pollutant per sample collected above the stack that is equipped with the cleaning device. Suppose that the relative...
Let Y1 have the joint probability density function given by and Y2 k(1 y2), 0 s y1 y2 1, lo, = elsewhere. (a) Find the value of k that makes this a probability density function k = (b) Find P 1 (Round your answer to four decimal places.)
2. Suppose that Y and Y2 are continuous random variables with the joint probability density function (joint pdf) a) Find k so that this is a proper joint pdf. b) Find the joint cumulative distribution function (joint cdf), FV1,y2)-POİ уг). Be y, sure it is completely specified! c) Find P(, 0.5% 0.25). d) Find P (n 292). e) Find EDY/ . f) Find the marginal distributions fiv,) and f2(/2). g) Find EM] and E[y]. h) Find the covariance between Y1...
Let Y1, Y2 have the joint density f(y1,y2) = 4y1y2 for 0 ≤ y1,y2 ≤ 1 = 0 otherwise (a) (8 pts) Calculate Cov(Y1, Y2). (b) (3 pts) Are Y1 and Y2 are independent? Prove your answer rigorously. (c) (6 pts) Find the conditional mean E(Y2|Y1 = 1). 3
Let Yı, Y, have the joint density S 2, 0 < y2 <yi <1 f(y1, y2) = 0, elsewhere. Use the method of transformation to derive the joint density function for U1 = Y/Y2,U2 = Y2, and then derive the marginal density of U1.
Let Y1, Y2,. . , Yn be a random sample from the population with pdf f(u:)elsewhere (a) If WIn Yi, show that W, follows an exponential distribution with mean 1/0. (b) Show that 2θΣηι W, follows a χ2 distribution with 2n degrees of freedom. (c) It turns out that if X2 distribution with v degrees of freedom, then E( Use this to show
2. [x] Suppose that Y1, Y2, Y3 denote a random sample from an exponential distribution whose pdf and cdf are given by f(y) = (1/0)e¬y/® and F(y) =1 – e-y/0, 0 > 0. It is also known that E[Y;] = 0. ', y > 0, respectively, with some unknown (a) Let X = min{Y1,Y2, Y3}. Show that X has pdf given by f(æ) = (3/0)e-3y/º. Start by thinking about 1- F(x) = Pr(min{Y1,Y2, Y3} > x) = Pr(Y1 > x,...
Let X1 and X2 have a joint pdf
Let
Find the joint pdf of Y1 and Y2.
f(x, y) = + y, 0<x,y<1
Q 3. The joint density of Yı, Y2 is given by e-4342 p(y1, y2) = - T, Y1 = 0,1, 2, ...; Y2 = 0, 1, 2, ... a. Find the marginal distribution of Yı. b. Find the conditional distribution of Y2 given that Y1 = yı. c. Determine if Yı and Y2 are independent - justify; you can use your result from b.
A) Find fY1 and show that the area under this is
one
B) Find P(Y1 > 1/2)
Let (Y1, Y2) denote the coordinates of a point chosen at random inside a unit circle whose center is at the origin. That is, Y1 and Y2 have a joint density function given by 1 yiy f(y, y2) 0, - elsewhere
Let (Y1, Y2) denote the coordinates of a point chosen at random inside a unit circle whose center is at the origin....