forgiven distribution =3 and
=1.6
here as we know that variance of the distribution =2
=3*1.62 =7.68
Continuous Random variables Z is known to have an Erlang (3,1.6) type PDF. What is the...
Continuous Random variables Z is known to have an Exponential type PDF with constant i = 0.3. What is the probability of Z being in the range (1.5<Z3 3.4) ? Give your answer in 3-digit accuracy (e.g 0.123).
Continuous Random variables X and Y have the following joint PDF given below: fxy = Cx2y2 for 0 sx s 1 and 0 sy s 2 OR fxy=0 otherwise What is the value of constant C? Express it in 2-digit accuracy (e.g. 0.12)
a) Let X and Y be two random variables with known joint PDF Ir(x, y). Define two new random variables through the transformations W=- Determine the joint pdf fz(, w) of the random variables Z and W in terms of the joint pdf ar (r,y) b) Assume that the random variables X and Y are jointly Gaussian, both are zero mean, both have the same variance ơ2 , and additionally are statistically independent. Use this information to obtain the joint...
4. Let X and Y be random variables of the continuous type having the joint pdf f(x,y) = 1, 0<x< /2,0 <y sin . (a) Draw a graph that illustrates the domain of this pdf. (b) Find the marginal pdf of X. (c) Find the marginal pdf of Y. (d) Compute plx. (e) Compute My. (f) Compute oz. (g) Compute oz. (h) Compute Cov(X,Y). (i) Compute p. 6) Determine the equation of the least squares regression line and draw it...
3.5. [Continuous-type random variables II The pdf of a random variable X is given by: L- fx(u) 0, else If E[X]-5/8, find a and b.
if Xn are iid continuous random variables in n
according to the PDF of fx , and Z is a positive discrete random
variable according to Y= sum of Xn. Find the MGF of Y in terms of Z
and X
工、エ.D ARE CONTINUOUS RANDOM VARIABLES ACCORDIN IN TO 7IS OISTRI BUTION AND VAR TABLE DISCRETE A RANOOM PO SITLVE LET Y=X TERMS OF YIN MGF OF ERPRESS AND LJ
1. Suppose X and Y are continuous random variables with joint pdf f(x,y) 4(z-xy) if = 0 < x < 1 and 0 < y < 1, and zero otherwise. (a) Find E(XY) b) Find E(X-Y) (c) Find Var(X - Y) (d) What is E(Y)?
Suppose Z and X are continuous random variables such that Z has a standard normal distribution and X = 5% + 10. a. Compute P(7 < X < 17). [6] b. What are the expected value E(X) and variance V(X) of X? [6] c. What kind of distribution does X have? [3]
4. Suppose Z and X are continuous random variables such that Z has a standard normal distribution and X = 52 + 10. a. Compute P(7 < X < 17). [6] b. What are the expected value E(X) and variance V(X) of X? [6] c. What kind of distribution does X have? [3]
Q2) (20 points) The joint pdf of a two continuous random variables is given as follows: < x < 2,0 < y<1 (cxy0 fxy(x, y) = } ( 0 otherwise 1) Find c. 2) Find the marginal PDFs of X and Y. Make sure to write the ranges. Are these random variables independent? 3) Find P(0 < X < 110 <Y < 1) 4) What is fxy(x\y). Make sure to write the range of X.