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9. X and Y are two independent random variables defined as in the "Graphs Document". What is P(X <= Y)? (i.e., the probability that X is not larger than Y. Hint: Draw the probability tree.)
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Could you help me solve this question 9. X and Y are two independent random variables...
Suppose X and Y are independent Binomial random variables, each with n=3 and p=9/10. a. Find the probability that X and Y are equal, i.e., find P(X=Y). b. Find the probability that X is strictly larger than Y, i.e., find P(X>Y). c. Find the probability that Y is strictly larger than X, i.e., find P(Y>X).
2. Let X and Y be two independent discrete random variables with the probability mass functions PX- = i) = (e-1)e-i and P(Y = j-11' for i,j = 1, 2, Let {Uni2 1} of i.i.d. uniform random variables on [0, 1]. Assume the sequence {U i independent of X and Y. Define M-max(UhUn Ud. Find the distribution
8. We say that two discrete random variables X and Y , are independent when P(X = a, Y = b) = P(X = a)P(Y = b) for all a and b in the corresponding sample spaces. Let Xị and X, be independent Poisson random variables with parameters l1 = 3 and dy = 2 respectively. Find the probability of the event that X1 + X2 = 3. Hint: Since {X1 + X2 = 3} = {X} = 0, X2...
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2. Let X and Y be discrete random variables with joint probability mass function X=1 X=5 Y=1 5a За Y=5 4a 8а a. What is the value of a? b. What is the joint probability distribution function (PDF) of X and Y? c. What is the marginal probability mass function of X? d. What is the expectation of X? e. What is the conditional probability mass function of X given Y = 1? f. Are X...
2. Suppose X and Y are independent continuous random variables. Show that P(Y < X) = | Fy(x) · fx (x) dx -oo where Fy is the CDF of Y and fx is the PDF of X [hint: P[Y E A] = S.P(Y E A|X = x) · fx(x) dx]. Rewrite the above equation as an expectation of a function of X, i.e. P(Y < X) = Ex[•]. Use the above relation to compute P[Y < X] if X~Exp (2)...
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3. Suppose X, Y are discrete random variables taking values in-1,0, 1) and their joint probability mass function is 0 0 X=1 where a, b are two positive real numbers (i) Find the values of a and b such that X and Y are uncorrelated (ii) Show that X and Y cannot be independent. 0
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3, (20%) Prove that if any two of the three random variables X, Y, and Z are independent, I(X; Y) I(X; Y1Z) holds.
3, (20%) Prove that if any two of the three random variables X, Y, and Z are independent, I(X; Y) I(X; Y1Z) holds.
Let X and Y be two independent and identically distributed random variables with expected value 1 and variance 2.56. First, find a non-trivial upper bound for P(|X + Y − 2| ≥ 1). Now suppose that X and Y are independent and identically distributed N(1,2.56) random variables. What is P(|X + Y − 2| ≥ 1) exactly? Why is the upper bound first obtained so different from the exact probability obtained?
Random variables X and Y are independent. the random variable X has density p(x) and Y is a discrete random variable having just two values: 1 with probability 1/3 and 2 with probability 2/3. Calculate the density of Z=X+Y.
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5. Suppose X and Y are standard normal random variables. Find an expres- sion for P(X - 3Y S1) in terms of the standard normal distribution function In two cases: (i) X and Y are independent (ii) X and Y have bivariate normal distribution with correlation ρ-1/2.