X can take values 0,1,2,3,4,5,6,7,8,9
So, Y can take values
and
1) The probability mass function of Y is
since P(X = 0) + P(X = 2) + P(X = 4) +P(X = 6) + P(X = 8) = 1/2
and
since P(X = 1) + P(X = 3) + P(X = 5) +P(X = 7) + P(X = 9) =
1/2
2) The mean of Y is
3) Moreover,
Hence,
The variance of Y =
6. Exam-like question Assume the random variable X has distribution X Bin(9,0.5) and let Y =...
Assume the random variable X has distribution X ~ Bin(9,0.5) and let Y = (-1)x. 1. Derive the probability mass function of Y. 2. Derive the mean of Y 3. Derive the variance of Y.
Question 3: Let X be a continuous random variable with
cumulative distribution function FX (x) = P (X ≤ x). Let Y = FX
(x). Find the probability density function and the cumulative
distribution function of Y .
Question 3: Let X be a continuous random variable with cumulative distribution function FX(x) = P(X-x). Let Y = FX (x). Find the probability density function and the cumulative distribution function of Y
2. Let y=-3x+4.For the case that X is Gaussian random variable of normal distribution given as N (0,4), find the probability density function of Y. What is the mean and variance of Y
Let X be an exponential random variable with parameter 1 = 2, and let Y be the random variable defined by Y = 8ex. Compute the distribution function, probability density function, expectation, and variance of Y
Let X be a random variable with cumulative distribution function(a) Find the probability density function fX(x), (b) Find the moment generating function MX(s) for s < 3, (c) Find the mean and variance of X.
Let X be a Bin(100,p) random variable, i.e. X counts the number of successes in 100 trials, each having success probability p. Let Y=|X−50|. Compute the probability distribution of Y.
A continuous random variable X has the probability density function f(x) = e^(-x), x>0 a) Compute the mean and variance of this random variable. b) Derive the probability density function of the random variable Y = X^3. c) Compute the mean and variance of the random variable Y in part b)
Let X be a continuous random variable with cumulative
distribution function F(x) = 1 − X−α x ≥ 1
where α > 0. Find the mean, variance and the rth moment of
X.
Question 1: Let X be a continuous random variable with cumulative distribution function where a >0. Find the mean, variance and the rth moment of X
Problem 5. Let X be a continuous random variable with a 2-paameter exponential distribution with parameters α = 0.4 and xo = 0.45, ie, ;x 2 0.45 x 〈 0.45 f(x) = (2.5e-2.5 (-0.45) Variable Y is a function of X: a) Find the first order approximation for the expected value and variance of Y b) Find the probability density function (PDF) of Y. c) Find the expected value and variance of Y from its PDF
Problem 5. Let X...
Consider three six-sided dice, and let random variable Y = the value of the face for each. The probability mass of function of Y is given by the following table: y 1 2 3 4 5 6 otherwise P(Y=y) 0.35 0.30 0.25 0.05 0.03 0.02 0 Roll the three dice and let random variable X = sum of the three faces. Repeat this experiment 50000 times. Find the simulated probability mass function (pmf) of random variable X. Find the simulated...