Question

1. Consider a random variable which is U(-2,5). Show work and find: a. E(X) b. Var(X)...

1. Consider a random variable which is U(-2,5). Show work and find:

a. E(X)

b. Var(X)

c. P(1<X<3)

d. F(x) evaluated at x=4

e. f(x)

f. E(absolute value of X)

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1
  • Please check attachment
  • In last page i have given alternative(easy) to calculate (a) and (b)

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose that X is a normal random variable and E(X) = −3. Find Var(X) if P(−7...
Suppose that X is a normal random variable and E(X) = −3. Find Var(X) if P(−7 < X < 1) = 0.7888.
Let X be a binomial random variable with E(X) = 7 and Var(X) = 2.1. (a)...
Let X be a binomial random variable with E(X) = 7 and Var(X) = 2.1. (a) [5 pts] Find the parameters n and p for the binomial distribution. n = p = (b) [5 pts] Find P(X = 4). (Round your answer to four decimal places.) (c) [5 pts] Find P(X > 12)
If X, Y are random variables with E(X) = 2, Var(X) = 3, E(Y) = 1,...
If X, Y are random variables with E(X) = 2, Var(X) = 3, E(Y) = 1, Var(Y) =2, ρX,Y = −0.5 (a) For Z = 3X − 1 find µZ, σZ. (b) For T = 2X + Y find µT , σT (c) U = X^3 find approximate values of µU , σU
(a) TRUE / FALSE If X is a random variable, then (E[X])^2 ≤ E[X^2]. (b) TRUE...
(a) TRUE / FALSE If X is a random variable, then (E[X])^2 ≤ E[X^2]. (b) TRUE / FALSE If Cov(X,Y) = 0, then X and Y are independent. (c) TRUE / FALSE If P(A) = 0.5 and P(B) = 0.5, then P(AB) = 0.25. (d) TRUE / FALSE There exist events A,B with P(A)not equal to 0 and P(B)not equal to 0 for which A and B are both independent and mutually exclusive. (e) TRUE / FALSE Var(X+Y) = Var(X)...
Find E(X),Var(X),σ(X) if a random variable x is given by its density function f(x), such that...
Find E(X),Var(X),σ(X) if a random variable x is given by its density function f(x), such that f(x)=0, if x≤0 f(x)=2x5, if 0<x≤1 f(x)=0, if x>1
Consider two random variable X and Y with joint PMF given in the table below. Y...
Consider two random variable X and Y with joint PMF given in the table below. Y = 2 Y = 4 Y = 5 X = 1 k/3 k/6 k/6 X = 2 2k/3 k/3 k/2 X = 3 k k/2 k/3 a) Find the value of k so that this is a valid PMF. Show your work. b) Re-write the table with the joint probabilities using the value of k that you found in (a). c) Find the marginal...
Suppose X is a discrete random variable with probability mass function given by p (1) =...
Suppose X is a discrete random variable with probability mass function given by p (1) = P (X = 1) = 0.2 p (2) = P (X = 2) = 0.1 p (3) = P (X = 3) = 0.4 p (4) = P (X = 4) = 0.3 a. Find E(X^2) . b. Find Var (X). c. Find E (cos (piX)). d. Find E ((-1)^X) e. Find Var ((-1)^X)
Let X be a continuous uniform (-2,5) random variable. Let W = |X| Your goal is...
Let X be a continuous uniform (-2,5) random variable. Let W = |X| Your goal is to find the pdf of W. a)Begin by finding the sample space of W b)Translate the following into a probability statement about X: Fw(w) = P[W <= w] = .... c) Consider different values of W the sample of W. Do you need to break up the sample space into cases? d)Find the cdf of W e)Find the pdf of W
The density function of random variable X is given by f(x) = 1/4 , if 0...
The density function of random variable X is given by f(x) = 1/4 , if 0 Find P(x>2) Find the expected value of X, E(X). Find variance of X, Var(X). Let F(X) be cumulative distribution function of X. Find F(3/2)
1) Suppose that X and Y are two random variables, which may be dependent and Var(X)=Var(Y)....
1) Suppose that X and Y are two random variables, which may be dependent and Var(X)=Var(Y). Assume that 0<Var(X+Y)<∞ and 0<Var(X-Y)<∞. Which of the following statements are NOT true? (There may be more than one correct answer) a. E(XY) = E(X)E(Y) b. E(X/Y) = E(X)/E(Y) c. (X+Y) and (X-Y) are correlated d. (X+Y) and (X-Y) are not correlated. 2) S.D(X ± Y) is equal to, where S.D means standard deviation a. S.D(X) ± S.D(Y) b. Var(X) ± Var(Y) c. Square...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT