2. The random variable of Y has the following distribution function for y<2 for 2 sy...
Suppose that X is a continuous random variable with probability distribution Suppose that X is a continuous random variable with probability distribution O<x<6 18 (a) Find the probability distribution of the random variable Y-10X 3. fr o) 2 Edit for Sy s (b) Find the expected value of Y
Define the random variable Y = -2X. Determine the cumulative distribution function (CDF) of Y . Make sure to completely specify this function. Explain. Consider a random variable X with the following probability density function (PDF): s 2+2 if –2 < x < 2, fx(x) = { 0 otherwise. This random variable X is used in parts a, b, and c of this problem.
Let Y be a continuous random variable with the following cumulative distribution function: for y <a 1-e-0.5(y-a)", for y>a where a is a constant. What is the 75th percentile of Y? F(y)= ŞO, Possible Answers [ A ]F(0.75) Ba-v2ln(4/3) ca+ √2ln(4/3) Da-2/in2 Ea+2 Vina
math 4. Let X be a random variable with the following cumulative distribution function (CDF): y <0 F(y) (a) What's P(X 2)? b) What's P(X > 2)? c) What's P(0.5<X 2.5)? (d) What's P(X 1)? (e) Let q be a number such that F()-0.6. What's q?
3. The cumulative distribution function of a random variable Y is: 0 if y<-1, 0.3 if -1 y <0.5, 0.7 Fr (y)- y < 2, if 0.5 1 if y 2 2. (a) Draw a sketch plot of Fy (y) d) Find the probability mass function, fz(2), of Z -Y2 (e Find El2] and Var(Z) (f) Find El2-321 and Var(2-32). 13 marks]
-l0 1- e-2x x MO 2) The distribution function for a random variable X is f(x) x <0 Find a) the density function 2 b) the probability that X 4 c) the probability that -3 <x 6inotion
A mixed random variable X has the cumulative distribution function e+1 (a) Find the probability density function. (b) Find P(0< X < 1).
A probability density function f of a continuous random variable x satisfies all of the following conditions except a) b) c) For any a,b with , P() = d) The mean and variance of a probability density function f are both finite We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
2. Suppose a certain random variable Y has the following probability density function: f(y)-0. 125y for 0< y < 4 (a) If a random sample of 40 observations is selected from this distribution, sketch the approximate probability distribution of - 10 where x is the sample mean. (4 pts) b) What is the mean and variance of x? (2 pts) (c) How large would the sample have to be in order for x to have a standard deviation of 0.01?...
Random variable X has the following cumulative distribution function: 0 x〈1 0.12 1Sx <2 F(x) 0.40 2 x<5 0.79 5 x<9 1x29 a. Find the probability mass function of X. b. Find E[X] c. Find E[1/(2X+3)] d. Find Var[X]