Question

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.

Homework Answers

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
1. Suppose a random variable X has a probability density function f(x)= {cx^2 -1<x<1, {0 otherwise...
1. Suppose a random variable X has a probability density function f(x)= {cx^2 -1<x<1, {0 otherwise where c > 0. (a) Determine c. (b) Find the cdf F (). (c) Compute P (-0.5 < X < 0.75). (d) Compute P (|X| > 0.25). (e) Compute P (X > 0.75 | X > 0). (f) Compute P (|X| > 0.75| |X| > 0.5).
3. Let X be a continuous random variable with PDF fX(x) = c / x^1/2, 0...
3. Let X be a continuous random variable with PDF fX(x) = c / x^1/2, 0 < x < 1. (a) Find the value of c such that fX(x) is indeed a PDF. Is this PDF bounded? (b) Determine and sketch the graph of the CDF of X. (c) Compute each of the following: (i) P(X > 0.5). (ii) P(X = 0). (ii) The median of X. (ii) The mean of X.
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.
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.
a) Suppose that X is a uniform continuous random variable where 0 < x < 5....
a) Suppose that X is a uniform continuous random variable where 0 < x < 5. Find the pdf f(x) and use it to find P(2 < x < 3.5). b) Suppose that Y has an exponential distribution with mean 20. Find the pdf f(y) and use it to compute P(18 < Y < 23). c) Let X be a beta random variable a = 2 and b = 3. Find P(0.25 < X < 0.50)
Let ? be a random variable with a PDF ?(?)= 1/(x+1) for ? ∈ (0, ?...
Let ? be a random variable with a PDF ?(?)= 1/(x+1) for ? ∈ (0, ? − 1). Answer the following questions (a) Find the CDF (b) Show that a random variable ? = ln(? + 1) has uniform ?(0,1) distribution. Hint: calculate the CDF of ?
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.
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
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)