4. Let X be a discrete random variable with PrX-ici for positive, odd integers 3 Sis...
4. Let X be a discrete random variable with PrXici for positive, odd integers 3 3i s 13 otherwise, the probability is zero (a) Compute the value of c. (b) What is the mean of X? (c) What is the second moment of X (that is, E[X2])? (d) What is the variance of X? (e) Compute E[min(9, X)]. (f) Compute E[(X - 9)+] wherea+max(x, 0)
4. Let X be a discrete random variable with Pr(X i} = ci for positive, odd integers 3 i 13; otherwise, the probability is zero e) Compute E[min(9, X)]. (f) Compute E(X-9)+] where x+ = max (x,0).
Let X be a discrete random variable with Pr{X = i} = ci for positive, odd integers 3 ≤ i ≤ 13; otherwise, the probability is zero. (a) Compute E[min(9,X)]. (b) Compute E[(X − 9)+] where x+ = max(x, 0).
Let X be a discrete random variable that is equally likely to be integers in the range [a,b], where a and b are integers with a<0<b. Find the PMF of the random variable Y = max(0,X).
Let the random variable X have a discrete uniform distribution on the integers 10 x 20, Determine the mean, μ, and variance, σ', of X Round your answers to two decimal places (e.g. 98.76) 14.85 3.12
3. Let X be a discrete random variable with the probability mass function 2 18 x=1,2,3,4, zero otherwise. , 12 a Find the probability distribution of Y-g(X- TXI b) Does Hy equal to g(Hx)? Ax=E(X), μ,-E(Y).
3. (10 points) Let X be continuous random variable with probability density function: fx(x) = 7x2 for 1<<2 Compute the expectation and variance of X 4. (10 points) Let X be a discrete random variable uniformly distributed on the integers 1.... , n and Y on the integers 1,...,m. Where 0 < n S m are integers. Assume X and Y are independent. Compute the probability X-Y. Compute E[x-Y.
Let X be a random variable with the following probability density function: 0 otherwise. Using following relationship ueudu a. Show that fy (y) is a valid probability density function b. Show that the moment generating function My (t) =-for t 2 (2-t) c. Obtain the first and second raw moments. d. Using these raw moments determine the mean and variance
Let X be a random variable with the following probability density function: 0 otherwise. Using following relationship ueudu a. Show...
4·Let X and Y be two discrete random variables with joint density function given by Compute the probability of the following events ess than2 (b) X is even. (c) XY is even. (d) Y is odd, given that X is odd.
discrete random variable has probability mass function, P(X =
n) = ?1?n.
? 1, forxeven Let Y = −1, for x odd
Find the expected value of Y ; (E[y]).
probability function mass A discrete random variable has P ( X = n) = (3) for x Y = { for Find the expected value of Y CE(y)] Let even x odd