Suppose it is known from large amounts of historical data that X, the number of cars...
4. Suppose that X is a random variable having the following probability distri- bution function - 0 if r<1 1/2 if 1 x <3 1 if z 2 6 (a) Find the probability mass function of X. (b) Find the mathematical expectation and the variance of X (c) Find P(4 X < 6) and P(1 < X < 6). (d) Find E(3x -6X2) and Var(3X-4).
Suppose that X is a discrete random variable that is uniformly distributed on the even integers x = 0,2,4,..., 22, so that the probability function of X is p(x) = 1 for each even integer x from 0 to 22. Find E[X] and Var[X].
A value=2
A -2 It is known that for a random variable X, the Expectation of X equals 5, and that the Variance equals 7. A random variable Y is defined as: Y= AX+2A = (INSERT THE VALUE OF A) 3(a) Find the Expectation of Y 3(b) Find the Variance of Y 3(c) Find E[Y) 3(d) Find the Standard Deviation of Y Question 4 (10%) For the following probability density function. What is the probability P(x>0.? SÅ (1-x) -A<x<A
Suppose that X is continuous random variable with 2. 1 € [0, 1] probability density function fx(2) = . Compute the 10 ¢ [0, 1]" following: (a) The expectation E[X]. (b) The variance Var[X]. (c) The cumulative distribution function Fx.
Fill in the P(X = x) values to give a legitimate probability distribution for the discrete random variable X, whose possible values are 2, 3, 4, 5, and 6. Value I of x P(x = x) 2 0.16 3 4 0.17 0.29 6 0 X 6 For Subm Let X be a random variable with the following probability distribution: 1 Value x of X P(X=x) 0.25 2 0.05 3 0.15 4 0.15 5 0.10 6 0.30 Find the expectation E...
O RANDOM VARIABLES AND DISTRIBUTIONS Expectation and variance of a random variable Let X be a random variable with the following probability distribution: Value x of X P(X-) 0.35 0.40 0.10 0.15 10 0 10 20 Find the expectation E (X) and variance Var(X) of X. (If necessary, consult a list of formulas.) Var(x) -
A random variable X is known to always be positive and have a standard deviation of 5 and E[x^2] = 125. Another random variable (Y) is known to have a mean twice as large as (X) and E[Y^2] = 500. Find the following: a.) E[X] b.) E[2X + 5] c.) Var(Y) d.) E[(Y-5)^2] e.) Assuming X and Y are independent find Var(2X - Y +5)
a,b,c,d
1. Suppose random variables X and Y appear together in the following way: X 20 21 0 Y 422 41 Assume that each observation is equally likely (a) Find the joint probability mass function, fx.y (b) Find the marginal probability mass function, the distribution function, and the expectation of Y (e) Find the conditional expectation of Y given X =x, for each value of x. (d) Find the conditional expectation of Y given X. Find the expectation of the...
Let X be a random variable with the following probability distribution: Value x of X P(X=x) 0.15 0.10 3 0.05 0.05 0.30 0.35 Find the expectation E (X) and variance Var (X) of X. (If necessary, consult a list of formulas.) E (x) = 0 x 6 ? var(x) -
Please answer both.
. Suppose that Y is a random variable with distribution function below. 1-e-v/2, 0, y > 0; otherwise F(y) = (a) Find the probability density function (pdf) f(y) of Y. yso (b) E(Y) and Var(Y) 5. Suppose X is a random variable with E(X) 5 and Var(X)-2. What is E(X)?