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. 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