Let x be a discrete random variable with PR mass function
f(x)=2(1/3)^x, x=1,2,3..
A) Compute Mx(t)
B) Compute M'1=EX, M'2=EX^2
A)
The MGF is
B)
Now, differentiating with respect to t gives
Putting t=0 gives
Differentiating with respect to t again gives
Putting t=0 gives
Let x be a discrete random variable with PR mass function f(x)=2(1/3)^x, x=1,2,3.. A) Compute Mx(t)...
7. Let Xbe a discrete random variable with probability mass function: f(x) c , x 0,1,2,3, 4 (a) Find the constant c. (b) Find the moment generating function of X. (c) Find EX based on the result of part (b)
Problem 4 Let X be a discrete random variable with probability mass function fx(x), and let t be a function. Define Y = t(X): that is, Y is the randon variable obtained by applying the function t to the value of X Transforming a random variable in this way is frequently done in statistics. In what follows, let R(X) denote the possible values of X and let R(Y) denote the possible values of To compute E[Y], we could irst find...
Let X denote a discrete random variable with pmf of px (1) 75 and pr (2) = .25. When the random variable X is transmitted, the
4. Let X be a discrete random variable with Pr(X i} = ci for positive, odd integers 3 i 13; otherwise, the probability is zero e) Compute E[min(9, X)]. (f) Compute E(X-9)+] where x+ = max (x,0).
The moment generating function (MGF) for a random variable X is: Mx (t) = E[e'X]. Onc useful property of moment generating functions is that they make it relatively casy to compute weighted sums of independent random variables: Z=aX+BY M26) - Mx(at)My (Bt). (A) Derive the MGF for a Poisson random variable X with parameter 1. (B) Let X be a Poisson random variable with parameter 1, as above, and let y be a Poisson random variable with parameter y. X...
Let X be a discrete random variable. If Pr(X<10) = 1/8, and Pr(X<=10) = 3/16, then what is Pr(X=10)? Please specify your answer in decimal terms and round your answer to the nearest hundredth (e.g., enter 12 percent as 0.12).
Let X be a discrete random variable with Pr{X = i} = ci for positive, odd integers 3 ≤ i ≤ 13; otherwise, the probability is zero. (a) Compute E[min(9,X)]. (b) Compute E[(X − 9)+] where x+ = max(x, 0).
3. Let X be a discrete random variable with the probability mass function 2 18 x=1,2,3,4, zero otherwise. , 12 a Find the probability distribution of Y-g(X- TXI b) Does Hy equal to g(Hx)? Ax=E(X), μ,-E(Y).
one question Let X be a (discrete) random variable with probability function (pdf) given by the table X P(x) 2 0.2 3 0.1 4 0.3 5 0.2 6 0.2 Compute Mx= Answer: ox Give answer to two decimal places. Answer:
Let X be a discrete random variable with PMF(a) Find P(X ≤ 9). (b) Find E[X] and Var(X). (c) Find MX(t), where t < ln 3.