Question

A government employee’s yearly dental expense is a random variable X with pdf f(x) = 1...

A government employee’s yearly dental expense is a random
variable X with pdf

f(x) = 1 / 1000, if 200 < x < 1200; and f(x) = 0, otherwise.
The government’s primary dental plan reimburses an employee for up to 400 of
dental expense incurred in a year, while a supplemental plan pays up to 500 of
any remaining dental expense. Let Y represent the yearly benefit paid by the
supplemental plan to a government employee. Verify that E(Y) = 275 and
compute the standard deviation of Y.
Hint: Y = 0 if X does not exceed 400, and Y = min (X – 400, 500) if X exceeds 400.

Homework Answers

Answer #1

Let X be the employee's yearly dentail expense incurred which is distributed uniformly in the interval (200,1200)

The pdf of X is

The cdf of X is

Let Y represent the benefit paid by the supplimental plan

  • If X<=400 then the supplimental plan need not pay anything, or Y=0

the probability of Y=0 is the probability of X<=400 and it is

  • the suppliment pays upto 500, that is if X>400, Y=X-400 and is between 0 to 500 till X=900. That is when X is between 400 and 900, Y is uniformly distributed in the interval (0,500)

the probability of X is between 400 and 900 is

The conditional pdf of Y given that X is between 400 and 900 is (Y is uniform (0,500)

The conditional cdf of Y is

The joint distribution of Y when X is between 400 and 900 is

  • Finally when the claim is greater than 900, the suplimental plan Y pays only 500. The probability of Y=500 is the probability of X>900 and it is

To consolidat the probability distribution of Y is

The expected value of Y is

Next we calculate

Finally the variance of Y is

std dev =sqrt variance =sqrt(41042) =

202.5883
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 continuous random variable with joint pdf f(x,y) = y/144 if 0...
Let X and Y be continuous random variable with joint pdf f(x,y) = y/144 if 0 < 4x < y < 12 and 0 otherwise Find Cov (X,Y).
Let the random variable X have pdf f(x) = x^2/18; -3 < x < 3 and...
Let the random variable X have pdf f(x) = x^2/18; -3 < x < 3 and zero otherwise. a) Find the pdf of Y= X^2 b) Find the CDF of Y= X^2 c) Find P(Y<1.9)
Suppose X and Y are continuous random variables with joint pdf f(x,y) = 2(x+y) if 0...
Suppose X and Y are continuous random variables with joint pdf f(x,y) = 2(x+y) if 0 < x < < y < 1 and 0 otherwise. Find the marginal pdf of T if S=X and T = XY. Use the joint pdf of S = X and T = XY.
The random variable X has the PDF fX(x) = { 1/4 -3<=x<=1 { 0 otherwise If...
The random variable X has the PDF fX(x) = { 1/4 -3<=x<=1 { 0 otherwise If Y = (X - 2)^2 Find E|Y| Var|Y|
Suppose X is a random variable with pdf f(x)= {c(1-x) 0<x<1 {0 otherwise where c >...
Suppose X is a random variable with pdf f(x)= {c(1-x) 0<x<1 {0 otherwise where c > 0. (a) Find c. (b) Find the cdf F (). (c) Find the 50th percentile (the median) for the distribution. (d) Find the general formula for F^-1 (p), the 100pth percentile of the distribution when 0 < p < 1.
1. Let (X,Y ) be a pair of random variables with joint pdf given by f(x,y)...
1. Let (X,Y ) be a pair of random variables with joint pdf given by f(x,y) = 1(0 < x < 1,0 < y < 1). (a) Find P(X + Y ≤ 1). (b) Find P(|X −Y|≤ 1/2). (c) Find the joint cdf F(x,y) of (X,Y ) for all (x,y) ∈R×R. (d) Find the marginal pdf fX of X. (e) Find the marginal pdf fY of Y . (f) Find the conditional pdf f(x|y) of X|Y = y for 0...
a continuous random variable X has a pdf f(x) = cx, for 1<x<4, and zero otherwise....
a continuous random variable X has a pdf f(x) = cx, for 1<x<4, and zero otherwise. a. find c b. find F(x)
A random variable X has the following pdf f(x)=2x^-3, if x ≥1 0, Otherwise (a) Find...
A random variable X has the following pdf f(x)=2x^-3, if x ≥1 0, Otherwise (a) Find the cdf of X (b) Give a formula for the pth quantile of X and use it to find the median of X. (c) Find the mean and variance of X
Suppose that X is continuous random variable with PDF f(x) and CDF F(x). (a) Prove that...
Suppose that X is continuous random variable with PDF f(x) and CDF F(x). (a) Prove that if f(x) > 0 only on a single (possibly infinite) interval of the real numbers then F(x) is a strictly increasing function of x over that interval. [Hint: Try proof by contradiction]. (b) Under the conditions described in part (a), find and identify the distribution of Y = F(x).
Suppose that X is an exponential random variable with pdf f(x) = e^(-x),0<x<∞, and zero otherwise....
Suppose that X is an exponential random variable with pdf f(x) = e^(-x),0<x<∞, and zero otherwise. a. compute the exact probability that X takes on a value more than two standard deviations away from its mean. b. use chebychev's inequality to find a bound on this probability
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT