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You are asked to find the mean and variance of a random variable Y whose distribution has probability generating function is


qr /1 − (1 − q)r. 0 < q < 1 


 Suppose that X and Y have bivariate normal distribution with the probability density function f(x1, x2) = k exp − (8X^2 − 6XY − 18Y^2 ) Find (a) Pr(X + Y > 1/2) (b) the joint moment generating function of Z1 = 2X − XY and Z2 = 3X + 2Y

Let X,Y be a random sample from the distribution


f(x) = 1 0 < x < 1


Further let Y = max(X,Y). Using the distribution function technique,

find the probability density function of Y. Hence find its mean and variance values.


Let X1, X2 have joint probability density function


f(x1, x2) = {

1/8e

−(8x1+x2)

, x1,x2>0


0, elsewhere

Find the probability density function of Y =1/2 (X1 + X2).


Suppose the random variable Y has a normal distribution with an expected value equal to 12 and variance equal to 16. What is the value of k such as that P(X<k)= 0.25


  1. Let X1, X2 , and X3 be independent standard normal random variable. If we defined Y1=X2, Y2=X1+X2/2 and Y3=X1+ X2 +X3/3.Then find then joint pdf of Y1, Y2, and Y3 using the Jacobian method?

1.     The time to complete the production of certain product for two machines produced by two different

well−known companies (company A and B) were observed to be completely different. The time machine from company A takes to complete the production (in hours) is X~Exp(2) and the time machine from company B takes to produce the product (in hours) is Y~Unif(0, 1). If the performances of the two machines is assumed to independent, what is the distribution of Z = X + Y, the total time they take to complete the production of the product? Hint: use the convolution method.


1.The waiting time, in hour, between successive speeders spotted by a radar units is a continuous random variable with cumulative distribution function

"f(x)={(1-e^(-8x), if x>0,0 otherwise)"

 derive the characteristic function of x and use it to find the mean of x


How many different samples of size 8 can be selected from a population with a size of 12 ?




A. Find the length of the following confidence interval.




1. Upper limit = 0.995




Lower Limit = 0.437



2. Upper limit = 394.14




Lower Limit = 354.74



3. Upper limit = 0.02946




Lower Limit = 0.02244



4. 0.475 < p < 0.735



5. 0.355 < p < 0.570

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