Question

Suppose that X is a random variable with pdf f(x) = cxe^(-x) for 0<x<1 and 0...

Suppose that X is a random variable with pdf f(x) = cxe^(-x) for 0<x<1 and 0 elsewhere.

a. find the value of c

b. find the expectation of x

c. find the variance of x

Homework Answers

Answer #1

a) since f(x) is a pdf integrating over its ranges equals 1.

(Integrating by parts )...........(i)

b)

....from (i)

                    .........................(ii)

c)

....................(from (ii) )

Thus,

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
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.
Suppose the random variable (X, Y ) has a joint pdf for the form ?cxy 0≤x≤1,0≤y≤1...
Suppose the random variable (X, Y ) has a joint pdf for the form ?cxy 0≤x≤1,0≤y≤1 f(x,y) = . 0 elsewhere (a) (5 pts) Find c so that f is a valid distribution. (b) (6 pts) Find the marginal distribution, g(x) for X and the marginal distribution for Y , h(y). (c) (6 pts) Find P (X > Y ). (d) (6 pts) Find the pdf of X +Y. (e) (6 pts) Find P (Y < 1/2|X > 1/2). (f)...
Suppose that a random variable X has the distribution (pdf) f(x) =kx(1 -x^2) for 0 <...
Suppose that a random variable X has the distribution (pdf) f(x) =kx(1 -x^2) for 0 < x < 1 and zero elsewhere. a. Find k. b. Find P(X >0. 8) c. Find the mean of X. d. Find the standard deviation of X. 2. Assume that test scores for all students on a statistics test are normally distributed with mean 82 and standard deviation 7. a. Find the probability that a single student scores greater than 80. b. Find the...
Let X be a random variable with pdf f(x)=12, 0<x<2. a) Find the cdf F(x). b)...
Let X be a random variable with pdf f(x)=12, 0<x<2. a) Find the cdf F(x). b) Find the mean of X. c) Find the variance of X. d) Find F (1.4). e) Find P(12<X<1). f) Find PX>3.
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 the pdf of a random variable X is defined as: f(x) = (x/16) + (1/4)...
Suppose the pdf of a random variable X is defined as: f(x) = (x/16) + (1/4) for -4 < x <= 0, and f(x) = -((x^2)/36) + (1/4) Find the cdf of X.
Suppose the random variable X has pdf f(x;?, ?)=??x?−1e−?x? for x≥0;?, ? > 0. a) Find...
Suppose the random variable X has pdf f(x;?, ?)=??x?−1e−?x? for x≥0;?, ? > 0. a) Find the maximum likelihood estimator for ?, assuming that ? is known. b) Suppose ? and ? are both unknown. Write down the equations that would be solved simultaneously to find the maximum likelihood estimators of ? and ?.
Suppose that the random variable X has p.d.f. f(x) = 1 − |x − 1|, if...
Suppose that the random variable X has p.d.f. f(x) = 1 − |x − 1|, if 0 ≤ x ≤ c 0, otherwise . (a) Find the value of c. (b) Find the probability that X > 0.5. (c) Find the mean and variance of the random variable 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
A continuous random variable X has pdf ?x(?) = (? + 1) ?^2, 0 ≤ ?...
A continuous random variable X has pdf ?x(?) = (? + 1) ?^2, 0 ≤ ? ≤ ? + 1, Where B is the last digit of your registration number (e.g. for FA18-BEE-123, B=3). a) Find the value of a b) Find cumulative distribution function (CDF) of X i.e. ?? (?). c) Find the mean of X d) Find variance of X.
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT