Answer:
Given that:
Consider a discrete random variable X, which can only
take on non-negative integer values with E[X^k] = 0.8, k=1,2... Use
the moment generating function approach to find the pmf of
, k=0,1,...
here as mgf




comparing it with mgf of discrete pmf :
below is pmf of X:
P(X=0) =0.2
P(X=1) =0.8
anywhere else P(x) =0
(10 points) Consider a discrete random variable X, which can only take on non-negative integer values,...
Consider a discrete random variable X with pmf x)-(1-p1 p. defined for x - 1, 2, 3,..The moment generating function for this kind of random variable is M(t)Pe 1-(1-P)et. (a) What is E(X)? O p(1-P) 1-P (a) What is Var(x)? 1-p p2 p(1-P) O p(1-P) o -p
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Let X be a discrete random variable with the following PMF. Px(k) = 1/4 for k = -2 1/8 for k = -1 1/8 for k = 0 1/4 for k = 1 1/4 for k = 2 0 otherwise Define a new random variable Y = (X + 1)2 a) Find E[X] and Var[X] b) Find the range of Y and write its PMF. c) Show that the PMF of Y is a valid PMF. d) Find P(Y ≤...
3. Use the probability generating function Px)(s) to find (a) E[X(10)] (b) VarX(10)] (c) P(X(5)-2) . ( 4.2 Probability Generating Functions The probability generating function (PGF) is a useful tool for dealing with discrete random variables taking values 0,1, 2, Its particular strength is that it gives us an easy way of characterizing the distribution of X +Y when X and Y are independent In general it is difficult to find the distribution of a sum using the traditional probability...
can someone explain this? thanks!
4. (Discrete Uniform Distribution, 10 points) Suppose that X has a discrete uniform distri bution on the integers 0 through 9, i.e., PCX = x) = 1/10, VI = 0,1,...,9. Determine the PMF of the random variable Y = 2X +3. 5. (Function of Random Variable, 20 points) Assume X is a random variable with the fol- lowing PMF, PCX = k) = k = 0.1.2.... (which is also known as the Poisson distribution). a....
4- Let Y = X, where X is a discrete uniform integer random variable in the range [-4,4). a) What is the PMF of the variable X? b) What is the PMF of the variable Y? c) Draw the PMF of the variables X, and Y. d) Draw the CDF of the variables X, and Y. e) What is the expected value of the random variables X and Y? f) What is the variance of the random variables X and...
Let random variable X take values {1,2, ...,10} with pk+1 = P(X - k+ 1) = pk/2. Consider g(x) = IA the Indicator function that takes value 1 if event A is true, 0 otherwise. A = {X > 6}. Find E[g(X)].
A discrete random variable X can take values from 1 to 10. Find the variance of X knowing X > 3. (Find V(X|X>3) )
Let X be a discrete random variable with the following PMF 6 for k € {-10,-9, -, -1,0, 1, ... , 9, 10} Px(k) = otherwise The random variable Y = g(X) is defined as Y = g(x) = {x if X < 0 if 0 < X <5 otherwise Calculate E[X], E[Y], var(X), and var(Y) for the two variables X and Y