a) The CDF is defined in the interval [0,1].
To be a valid CDF, the function should satisfy
Since the support is in the interval [0,1], the value of for all
That means at ,
To be a valid CDF, the function should satisfy
Since the support is in the interval [0,1], the value of for all
That means at ,
For Valid CDf, a=0 and b=1 and the CDf is
b) The pdf is calculated using
Formally the pdf is
c) The expected value of X is
d) The expected value of is
e) Variance of X ?
1. Let X be a continuous random variable with CDF F(ro)-a+b 3 and support set 0,...
(a) Let X be a continuous random variable with the cdf F(x) and pdf f(.1). Find the cdf and pdf of |X|. (b) Let Z ~ N(0,1), find the cdf and pdf of |Z| (express the cdf using ” (-), the cdf of Z; give the explicit formula for the pdf).
1. Let X be a continuous random variable with support (0, 1) and PDF defined by f(x) = ( cxn 0 < x < 1 0 otherwise, for some n > 1. a) Find c in terms of n. b) Derive the CDF FX(x).
Let X be a continuous random variable with PDF f(x) = { 3x^3 0<=x<=1 0 otherwise Find CDF of X FInd pdf of Y
3. (10 points) Let X be a continuous random variable with CDF for x < -1 Fx(x) = { } (x3 +1) for -1<x<1 for x > 1 and let Y = X5 a. (4 points) Find the CDF of Y. b. (3 points) Find the PDF of Y. c. (3 points) Find E[Y]
A continuous random variable X has cdf F given by: F(x)x3, x e [0,1] (1, x〉1 a) Determine the pdf of X b) Calculate Pi<X <3/4 c) Calculate E X]
e. A continuous random variable X has cdf $$ F(x)=\left\{\begin{array}{cc} a & x \leq 0 \\ x^{2} & 0< x \leq 1 \\ b & x>1 \end{array}\right. $$a. Determine the constants a and b.b. Find the pdf of X. Be sure to give a formula for fx(X) that is valid for all x. c. Calculate the expected value of X.
Additional Problem 3. If X is a continuous random variable having cdf F, then its median is defined as that value of m for which F(m) = 0.5. Find the median for random variables with the following density functions (a) f(r)-e*, x > 0 (c) f(x) 6r(1-x), 1. Additional Problem 6. Let X be a continuous random variable with pdf (a) Compute E(X), the mean of X (b) Compute Var(X), the variance of X. (c) Find an expression for Fx(r),...
Let X be a random variable with support Sx = [−6, 3] and pdf f(x) = 1/81x^2 for x ∈ SX , 0 otherwise. Consider the random variable Y = max(X, 0). Calculate the CDF of Y , FY (y), where y is any real number.
E. Consider a continuous random variable X with cdf F(x) = x3/8, 0 < x < 2. (27) The pdf f(x) of X is (а) 6х (b) x3/8 (c) 3x2/8 (d) x2/4(28) E[X2+3X] is (а) 6.9 (b) 4.3 (с) 4.5 (d) 8.1 (29) The probability P(X > 1) is (a) 7/8 (b) 4/8 (c) 6/8 (d) 3/8
The random variable X has CDF 0 <-1, Ex(x) = 0.2 -1 < 0, 0.7 0 x<1, 1 21. (a) Draw a graph of the CDF (b) Write Px(), the PMF of X. Be sure to write the value of Px(a) for all r from-oo to oo. Given the random variable X in problem ii), let V g X)X. (a) Find P(v). (b) Find Fy(v). (c) Find EIV]