Random variable X={A, B, C, D} with p.m.f. {1/2, 1/4, 1/8, 1/8}, calculate its entropy.
Random variable X={A, B, C, D} with p.m.f. {1/4, 1/4, 1/4, 1/4}, calculate its entropy.
Give an example of a discrete or continuous random variable X (by giving the p.m.f. or p.d.f.) whose cumulative distribution function F(x) satisfies F(n)=1-1/n! Thank you very much! Exercise 3.40. Give an example of a discrete or continuous random variable X p.d.f.) whose the cumulative distribution function F(x) (by giving the p.m.f satisfies F(n)1 - i for each positive integer n or
1. Consider sequence of independent identically distributed binary random variable x,,x,,x,,x,-4 , wherepEPr(X:-)-0.7 and Pr(X, =0).1-p=0.3. a) (10 pts.) Complete the table where k denotes the number of 1's in the n! sequence, andkkn-k b) (10 pts.) Calculate H(X) c) (10 pts.) Assume that Pr[T)]21-ε 0.9. Find the corresponding typical sequence set n) d) (10 pts.) Assume Pr[ 21-820.9. Find the corresponding smallest set B ). 2. Consider a random walk random variable X, on the graph in Figure 1....
Let random variable X be distributed according to the p.m.f P(a) 0.3 0.5 0.2 · If Y = 2x, what are ELY Var(Y) If Z = aX + b has E121 = 0 and Var(Z) = 1, what are: .
Let random variable X be distributed according to the p.m.f P( 0.3 0.5 0.2 · If Y=2X, what are li E r Var(Y) . If Z = aX + b has EZj-0 and Var(Z)-1, what are: lal
Consider the discrete random variables X and Y with the following joint p.m.f. Pxr(r,y) 1 0.03 0.100.09 0.08 2 0.050.280.07 0.10 3 0.02 0.120.04 0.02 Find the marginal p.m.F. of X P1 4 Find the marginal p.m.f. of Y Find the conditional p.m.F. of X given Y 3 Find the conditional p.m.f. of X given Y 3. Pae) 2 3 4 . Find the conditional p.m.f. of Y given X 3 .1 . Find the following probabilities Check
Let X be a random variable which follows truncated binomial distribution with the following p.m.f. P(X=x) =((n|x)(p^x)(1−p)^(n−x))/(1−(1−p)^n), if x= 1,2,3,···,n. •Find the moment generating function (m.g.f.) and the probability generating function(p.g.f.). •From the m.g.f./p.g.f., and/ or otherwise, obtain the mean and variance. Show all the necessary steps for full credit.
This is for an Information Theory class. H(X) is entropy rate. Problem 8: Suppose that X is a random variable with a probability that X = k) given by: probability distribution (i.e., Px (k) = Prob(X = k) = (1 - ) )X* for k0 where 0 < 1 and k is a non-negative integer (and hence X can take any negative integer value). To answer this question, note that the AEP theorem we proved for a finite-alphabet random variable...
Obtain the value of "c" for which the followeing function f(x) would be a p.m.f. of a discvrete random variable X:- f(x) = c(x-1), x=1,2,...,10 0, elsewhere (1) Determine expectation and variance of X. (2) Find third order central moment of X (3) Find the moment measures of skewness for the distribution.
1. (6 pts) Consider a non-negative, discrete random variable X with codomain {0, 1, 2, 3, 4, 5, 6} and the following incomplete cumulative distribution function (c.d.f.): 0 0.1 1 0.2 2 ? 3 0.2 4 0.5 5 0.7 6 ? F(x) (a) Find the two missing values in the above table. (b) Let Y = (X2 + X)/2 be a new random variable defined in terms of X. Is Y a discrete or continuous random variable? Provide the probability...