A fair die is rolled 2 times, and the results are Z1 and Z2. Define X = Z1+Z2 and Y = Z1−Z2. (a) Show that Cov(X, Y ) = 0. (b) Prove that X and Y are not independent. (Hint: find a pair of numbers k and l for which P(X = k, Y = l) 6= P(X = k) × P(Y = l).)
(a).

E(XY) = 0 = E(X) * E(Y) , thus covariance is 0.
(b). P(X=2,Y=-1) = 0
and P(X=2)*P(Y=-1)
0. Thus X and Y
are not independent.
A fair die is rolled 2 times, and the results are Z1 and Z2. Define X...
3. A fair die is rolled twice. Let the first outcome be X and the second outcome be Y (a) (5 points) Calculate Cov(XY, X -Y) and simplify. (hint: What is Cov(aX+bY) in terms of Cov(X, Y)?) (b) (5 points) Are X Y and X -Y independent? Explain. (c) (5 points) Calculate the moment generating function Mx+y(t) of X+Y (the answer should be a function of t and can contain unsimplified sums)
7. In n rolls of a fair die, let X be the number of times 1 is rolled, and Y the number of times 2 is rolled. Find the conditional distribution of X given Y-m
7. In n rolls of a fair die, let X be the number of times 1 is rolled, and Y the number of times 2 is rolled. Find the conditional distribution of X given Y-m
5. A fair six sided die is rolled 10 times. Let X be the number of times the number '6' is rolled. Find P(X2)
b) Find Var(X) 5. A fair six sided die is rolled 10 times. Let X be the number of times the number '6' is rolled. Find P(X2) B SEIKI
2. A fair red die and a fair blue die are rolled 2 times each. What is the probability of the product of numbers on the red die is less then the sum of numbers on the blue die?
2. A fair red die and a fair blue die are rolled 2 times each. What is the probability of the product of numbers on the red die is less then the sum of numbers on the blue die? -Ive already posted this question but the answer given didn't explain how to calculate the number of successful cases. I know the total possible cases is 6*6*6*6=1296, but how do you calculate the number of successful cases?
A fair die is rolled 100 times. Let X add the faces of all of the rolls together. Then µ = 350. Find an upper bound for P(X ≥ 400). Find the actual probability P(X = 100)
a player rolls a pair of fair die 10 times. the number X of 7's rolled is recorded
Suppose a fair die numbered 1 to 5 is rolled 4 times. Complete parts (a) and (b) below. (a) Find the probability distribution for the number of times 3 is rolled. 0 1 2 3 4 P(x) (Round to four decimal places as needed.) (b) What is the expected number of times 3 is rolled? E(x)=(Round to four decimal places as needed.)
I know Pk~1/k^5/2 just need the
work
Problem 1. Suppose that a fair six-sided die is rolled n times. Let N be the number of 1's rolled, N2 be the number of 2's rolled, etc, so that NN2+Ns-n Since the dice rolls are independent then the random vector < N,, ,Ne > has a multinomial distribution, which you could look up in any probability textbook or on the web. If n 6k is a multiple of 6, let Pa be...