A discrete random variable ? has the sample space ?x = {1,2,3}, with given probabilities of ?x(1) = 0.3, ?x(2) = 0.4, and ?x(3) = 0.3. Compute the expectation ?[(? − ?)2]
A discrete random variable ? has the sample space ?x = {1,2,3}, with given probabilities of...
2. A discrete random variable X can be 2, 8, 10 and 20 and its probabilities are 0.3, 0.4, 0.1 and 0.2, respectively. Drive the inverse-transform algorithm for the distribution. 2. A discrete random variable X can be 2, 8, 10 and 20 and its probabilities are 0.3, 0.4, 0.1 and 0.2, respectively. Drive the inverse-transform algorithm for the distribution
4. Consider the sample space S 1,2,3,...), and assume that outcomes have the probabilities P(i)- 2-'. For any n 2 0, define the discrete random variable Xn S0,... , n) by x,(i)-1 mod (n + 1), where mod means"modulo (a) Show that Xn converges in probability to the "identity" random variable X, defined by X(i)-. (b) Show that Xn converges in distribution to the Geom (1/2) random variable (e.g. to the time of the first Head in a sequence of...
Discrete Random Variable. The random variable x has the discrete probability distribution shown here: x -2 -1 0 1 2 p(x) 0.1 0.15 0.4 0.3 0.05 Find P(-1<=x<=1) Find P(x<2) Find the expected value (mean) of this discrete random variable. Find the variance of this discrete random variable
A discrete random variable A takes values {1, 2, 4} with probabilities specified as follows: P[A = 1] = 0.5, P[A = 2] = 0.3 and P [A = 4] = 0.2 Given A= ), a discrete random variable N is Poisson distributed with rate equal to 1, that is: 9 P[N = n|A = 1] = in n! el Hint If N is Poisson distributed with rate 1, its expectation and variance are as follows: E[N] = Var [N]...
4) (30 POINTS TOTAL) X an Y are discrete random variable; X has sample space 1,21 and Y has sample space 1O,1 Table1 shows the joint distribution of (X,) TABLE 1. Joint p.mf. DANIEL TANNEN BAUM (a) (5 points) C(mpute the! luarginal distribution ofヱand y, i e can plete the following table 0 P(x) (b) (5 points) Cakulate the expectation of y. E (c) (5 points) Caleulate the conditional distribtion of y e. caleulate pyr) r each value ofr. Hint:...
Problem 2. Suppose the sample space S consists of the four points and the associated probabilities over the events are given by P(cu 1)-0.2, P(ω2)-0.3, P(ag)-0.1, P(04)-0.4 Define the random variable X1 by and the random variable X2 by X2(2) 5, (a) Find the probability distribution of X1 (b) Find the probability distribution of the random variable X1 +X2 Problem 3. The random variable X has density function f given by 0, elsewhere (a) Assuming that 0.8, determine K (b)...
Let x be a discrete random variable with PR mass function f(x)=2(1/3)^x, x=1,2,3.. A) Compute Mx(t) B) Compute M'1=EX, M'2=EX^2
5. A discrete random variable, X, has three possible results with the following probabilities: Pr [X 2 /3 No other results can occur. (a) Sketch a graph of the probability function (b) What is the mean or expected value of this random variable? (c) What are the variance and standard deviation of this random variable?
Problem 5: 10 points Assume that a discrete random variable, N, is Poisson distributed with the rate, λ = 3. Given N = n, the random variable, X, conditionally has the binomial distribution, Bin [N +1, 0.4] 1. Evaluate the marginal expectation of X. 2. Evaluate the marginal variance of X
6.2-1. Sample functions in a discrete random process are constants, that is X(t) = C = constant where C is a discrete random variable having possible values la and c) = 3 occurring with probabilities 0.6, 0.3, and 0.1, respectively. (a) Is XC) deterministic? (b) Find the first-order density function of X( at any time to 2.