plz explain Let X be a discrete random variable that takes on the Ivalues - 1,0lt...
Let X be a discrete random variable with PMF(a) Find P(X ≤ 9). (b) Find E[X] and Var(X). (c) Find MX(t), where t < ln 3.
Problem 3. Let X be a discrete random variable that takes values in N. Show that if X is memory-free then it must be the case that X Geo(p) for some p. (Hint a useful first step might be to show that P(X > t)= P(X > 1)' for all t E N.) Problem 3. Let X be a discrete random variable that takes values in N. Show that if X is memory-free then it must be the case that...
The moment generating function ф(t) of random variable X is defined for all values of t by et*p(x), if X is discrete e f (x)dx, if X is continus (a) Find the moment generating function of a Binomial random variable X with parameters n (the total number of trials) and p (the probability of success). (b) If X and Y are independent Binomial random variables with parameters (n1 p) and (n2, p), respectively, then what is the distribution of X...
Let X be a discrete random variable. If the moment generating function of X is given by (1 -0.9+0.9e) 15. The first moment of X is Hint: Write the answer with one decimal point. Answer.
Let X be a discrete random variable. If the moment generating function of X is given by (1 – 0.6 + 0.6e')? The first moment of X is 8 Hint: Write the answer with one decimal point. Answer:
Let X be a random variable with cumulative distribution function(a) Find the probability density function fX(x), (b) Find the moment generating function MX(s) for s < 3, (c) Find the mean and variance of X.
7. Let Xbe a discrete random variable with probability mass function: f(x) c , x 0,1,2,3, 4 (a) Find the constant c. (b) Find the moment generating function of X. (c) Find EX based on the result of part (b)
7. Let X a be random variable with probability density function given by -1 < x < 1 fx(x) otherwise (a) Find the mean u and variance o2 of X (b) Derive the moment generating function of X and state the values for which it is defined (c) For the value(s) at which the moment generating function found in part (b) is (are) not defined, what should the moment generating function be defined as? Justify your answer (d) Let X1,...
Consider a random variable X with RX = {−1, 0, 1} and PMF P(X = −1) = 1/4 , P(X = 0) = 1/2 , P(X = 1) = 1/4 . a) Determine the moment-generating function (MGF) MX(t) of X. b) Obtain the first two derivatives of the MGF to compute E[X] and Var(X). Consider a random variable X with Rx = {-1,0,1} and PMF Determine the moment-generating function (MGF) Mx(t) of X b) Obtain the first two derivatives of...
If the discrete random variable X has a moment generating function given by My(t) = (e'-1) Find E(X + 2x2) and Var(2X + 40).