i need the answer quickly 10- If the random variable X has the gamma p. d. f with integer parameter aand arbitrary ß> 0, then E(X) is(a)(c)OO baCOd(k+B-1)!(B-1)lak(B-1)!ak(k+B-1)!(b)(d)(a +B-1)!(B-1)!(k+a-1)!(a-1)!pk

Answered: Image /qna-images/answer/b3544293-d467-491f-8fef-268d068f4636.jpg

Answered: 10- If the random variable X has the…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 31E

See similar textbooks

Similar questions

If a game gives payoffs of $10 and $100 with probabilities 0.9 and 0.1, respectively, then the expected value of this game is E=0.9+0.1= .
4.20. How can I show that X is a Poisson random variable with parameter lambda, then E[Xn] =.... ? And after, using this result to compute E[X3]?
Let X and Y be random variables with finite variance. Prove that |ρ(X, Y)| = 1 implies that there exist constants a, b and c such that aX + bY = c with probability 1.
A continuous random variable X is defined by: Solve: 1. f(x) = (3+x)²/16 ; -3≤ x≤ -1 2. f(x) = (6 - 2x)²/16 ; -1≤x≤1 3. f(x) = (3 - x²)/16 ; -1≤x≤3
How do you show that if X1, X2,...Xn are independent random variables having the same Bernoulli distribution with the parameter θ and Y =X1 + X2 + ... + Xn, then E(Y) = nθ and var(Y) = nθ(1-θ)
26 - Since the continuous random variable X is normally distributed with parameters X~N(-3, 9) what is the probability of P(X=6)? a) 0.3413 B) 0 C) 0.3174 D) 0.8413 TO) one
X is a continuous random variable taking values between 0 and 2. If F(1.5) = 0.70 and P(X<1) = 0.20, what is P (1 < X < 1.5)?
Suppose a simple random sample of sizen=150 is obtained from a population whose size isN=10,000 and whose population proportion with a specified characteristic is p=0.2. (b) What is the probability of obtaining x=39 or more individuals with the characteristic? That is, what is P(p≥0.26)?
If X1, X2, and X3 constitute a random sample of sizen = 3 from a Bernoulli population, show that Y =X1 + 2X2 + X3 is not a sufficient estimator of θ. (Hint:Consider special values of X1, X2, and X3.)
If X1 and X2 are independent exponential random variables with respective parameters λ1 and λ2,find P{X1 < X2} and P{X2 < X1}.
3.) Find P (X > Y) where X and Y are independent random variables that satisfy X~ N (2,1) and Y~ N (6,3)
(b) Let Z be a discrete random variable with E(Z) = 0. Does it necessarily follow that E(Z³) = 0? If yes, give a proof; if no, give a counterexample.

SEE MORE QUESTIONS

Recommended textbooks for you

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

College Algebra

Algebra

ISBN:

9781305115545

Author:

James Stewart, Lothar Redlin, Saleem Watson

Publisher:

Cengage Learning

Algebra & Trigonometry with Analytic Geometry

Algebra

ISBN:

9781133382119

Author:

Swokowski

Publisher:

Cengage

College Algebra

Algebra

ISBN:

9781305115545

Author:

James Stewart, Lothar Redlin, Saleem Watson

Publisher:

Cengage Learning

SEE MORE TEXTBOOKS

10- If the random variable X has the gamma p. d. f with integer parameter a and arbitrary ß> 0, then E(X) is (a) (c) (k+B-1)! (B-1)lak (B-1) ak (k+B-1)! (b) (d) (a +B-1)! (B-1)! (k+a-1)! (a-1)!gk