Question

Suppose X and Y are independent Geometric random variables, with E(X)=4 and E(Y)=3/2. a. Find the...

Suppose X and Y are independent Geometric random variables, with E(X)=4 and E(Y)=3/2.

a. Find the probability that X and Y are equal, i.e., find P(X=Y).

b. Find the probability that X is strictly larger than Y, i.e., find P(X>Y). [Hint: Unlike Problem 1b, we do not have symmetry between X and Y here, so you must calculate.]

Homework Answers

Answer #1

a) We are given here that E(X) = 4 and E(Y) = 3/2, therefore the probability of getting a success on any trial for these 2 cases here is computed as: 1/4 = 0.25 and 2/3

The required probability here is computed as:

Applying the sum of an infinite GP, we get here: ( first term as (1/4)(2/3) and common ratio as (3/4)(1/3))

Therefore (2/9) = 0.2222 is the required probability here.

b) Here, there is no symmetry so we need to do it manually as:

Again this becomes an infinite GP with first term as (2/3)(3/4) = 0.5 and common ratio as (1/3)(3/4) = 0.25

Therefore the infinite sum of the GP here is computed as:

Therefore (2/3) = 0.6667 is the required probability here.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Let X and Y be independent Geometric(p) random variables. (a) What is P(X < Y)? (b)...
Let X and Y be independent Geometric(p) random variables. (a) What is P(X < Y)? (b) What is the probability mass function of the minimum min(X, Y )?
Let X and Y be independent Geometric(p) random variables. What is P(X<Y)?
Let X and Y be independent Geometric(p) random variables. What is P(X<Y)?
Topic: Linear Combination Of Random Variables Suppose X and Y are independent random variables with X...
Topic: Linear Combination Of Random Variables Suppose X and Y are independent random variables with X ∼ N(1, 9) and Y ∼ N(2, 16). Find the probability that 2Y ≥ 1; find the probability that X − Y ≥ 0.
Suppose that X, Y, and Z are independent, with E[X]=E[Y]=E[Z]=2, and E[X2]=E[Y2]=E[Z2]=5. Find cov(XY,XZ). (Enter a...
Suppose that X, Y, and Z are independent, with E[X]=E[Y]=E[Z]=2, and E[X2]=E[Y2]=E[Z2]=5. Find cov(XY,XZ). (Enter a numerical answer.) cov(XY,XZ)= Let X be a standard normal random variable. Another random variable is determined as follows. We flip a fair coin (independent from X). In case of Heads, we let Y=X. In case of Tails, we let Y=−X. Is Y normal? Justify your answer. yes no not enough information to determine Compute Cov(X,Y). Cov(X,Y)= Are X and Y independent? yes no not...
If X and Y are independent, where X is a geometric random variable with parameter 3/4...
If X and Y are independent, where X is a geometric random variable with parameter 3/4 and Y is a standard normal random variable. Compute E(e X), E(e Y ) and E(e X+Y ).
If X and Y are independent, where X is a geometric random variable with parameter 3/4...
If X and Y are independent, where X is a geometric random variable with parameter 3/4 and Y is a standard normal random variable. Compute E(e^X), E(e^Y ) and E(e^(X+Y) ).
If ? and ? are both identical but independent Geometric random variables with parameter ?, find...
If ? and ? are both identical but independent Geometric random variables with parameter ?, find the probability that ?(? = ?).
a. Suppose X and Y are independent Poisson random variables, each with expected value 2. Define...
a. Suppose X and Y are independent Poisson random variables, each with expected value 2. Define Z=X+Y. Find P(Z?3). b. Consider a Poisson random variable X with parameter ?=5.3, and its probability mass function, pX(x). Where does pX(x) have its peak value?
(14pts) Let X and Y be i.i.d. geometric random variables with parameter (probability of success) p,...
(14pts) Let X and Y be i.i.d. geometric random variables with parameter (probability of success) p, 0 < p < 1. (a) (6pts) Find P(X > Y ). (b) (8pts) Find P(X + Y = n) and P(X = k∣X + Y = n), for n = 2, 3, ..., and k = 1, 2, ..., n − 1.
Let X and Y be independent discrete random variables with pmf’s: x 1 2 3 y...
Let X and Y be independent discrete random variables with pmf’s: x 1 2 3 y 2 4 6 p(x) 0.2 0.2 0.6 p(y) 0.3 0.1 0.6 What is the probability that X + Y = 7
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT