Problem 1. Let Y be the density function given by
f(y) = 1/5, −1 < y ≤ 0,
1/5 + cy, 0 < y ≤ 1
0, elsewhere.
1. Find the value of c that makes f(y) a density function.
2. Compute the probability P (−1/2 ≤ Y < 1/2)
3. Find the expected value µ and the standard deviation σ of
Problem 1. Let Y be the density function given by f(y) = 1/5, −1 < y...
Problem 2: Let Y be the density function given by f(y) = 1.5, -1<y < 0, { 1-cy, 0 <y <1 10, elsewhere. (1) Find the value of c that makes f(y) a density function. (2) Find Fy). (3) Compute Pr(-0.5 <Y <0.5) (4) Graph f(y) and F(y) in the same rectangular coordinate system. (5) Find the expected value u = E[Y]. (6) Find the variance o2 = Var(Y) and the standard deviation o of Y.
Question#3 20 Points Let Y has the density function which is given below: 0.2 -kyS0 f(v) 0.2 + cy 0 0<p 1 otherwise (a) Find the value of c. (b) Find the cumulative distribution function F(y). (c) Use F(y) in part b to find F(-1), F(0), F(1) (d) Find P(0sYs0.5) (e) Find mean and variance of Y d X1 amd 2 aild ate subarea of a fixed size, a reasonable model for (X1, X2) is given by 1 0sx1 S...
5. Let the joint probability density function of X and Y be given by, f(x,y) = 0 otherwise (a) Find the value of A that makes f (x, y) a proper probability density function (b) Calculate the correlation coefficient of X and Y. (c) Are X and Y independent? Why or why not?
Let X be a continuous RV with the following density function: f X ( x ) = { 2(1 − x ) , 0 < x < 1 0 , elsewhere a. Determine the cumulative distribution function for X , F X . b. Compute P ( X ≤ 0 . 5). c. Compute the mean of X , μ X . d. Compute the median of X . e. Compute the variance ( σ 2 X ) and standard...
The joint probability density function is f(x, y) for 17. Find the mean of X given Y = random variables X and Y fax, y) = f(xy *** Q<x<10<x<1 Elsewhere w 14. Random variables X and Y have a density function f(x, y). Find the indicated expected value f(x, y) = 6; (xy+y4) 0<x< 1,0<y<1 0 Elsewhere E(x2y) = 15. The means, standard deviations, and covariance for random variables X, Y, and Z are given below. Lex= 3, uy =...
1. Let X and Y have the joint density function given by zob to todos f(x, y) = {kxy) of 50<x< 2, 0 <y<3.) i 279VHb yodmu : 1093 otherwise a) Find the value of k that makes this a probability density function. TO B 250 b) Find the marginal distribution with respect to y. 0x11 sono c) Find E[Y] d) Find V[Y]. X10 sulay boso 50
4. Let X, Y be random variables with a joint probability density function given by f(x,y) = 2, f(x,y)=0, elsewhere. 0〈x〈y〈 1; (a) Find μYlr and plot its graph. (b) Find ơ2lz and plot its graph.
Let the joint density function of random variables X and Y be f(x,y) = 8 - x - y) for 0 < x < 2, 2 < y < 4 0 elsewhere Find : (1) P(X + Y <3) (11) P(Y<3 | X>1) (111) Var(Y | x = 1)
Let Y have the density function f(y) = ke−2y for all y > 0 and zero everywhere else. Find the value of k that makes f(y) a probability density function. a. Calculate P(0.5 ≤ Y ≤ 1) and P(0.5 ≤ Y < 1). b. Calculate P(0.5 ≤ Y ≤ 1|Y ≤ 0.75) and P(0.5 ≤ Y ≤ 1|Y < 0.75).
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.)