since the all 3 sub-part is independent and not related to each other , so as per the HOMEWORKLIB RULES only first sub-part is answered
(a)median=log2
or,
or,
or,
or,e-Md=0.5
or, 1/eMd=0.5
or, eMd=2
or Md=log2
Additional Problem 3. If X is a continuous random variable having cdf F, then its median...
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),...
Show all steps, thanks 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(x) = e-*, x 0 (b) f(x) = 1, 0 ă x 1. (c) f(x) 6x(1 - x),0 <1.
A continuous random variable X has cdf F given by: F(x)x3, x e [0,1] (1, xă1 a) Determine the pdf of X b) Calculate Pi<X <3/4 c) Calculate E X]
5. (Discrete and ontinuous random variables) (a) Consider a CDF of a random variable X, 10 x < 0; Fx(x) = { 0.5 0<x< 1; (1 x > 1. Is X a discrete random variable or continuous random variable? (b) Consider a CDF of a random variable Y, 1 < 0; Fy(y) = { ax + b 0 < x < 1; 11 x >1, for some constant a and b. If Y is a continuous random variable, then what...
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]
Additional Problem A: The CDF of random variable X is given by: I< -3 -3 < z< -2 Fx(r) = -2 <I< 2 a) Find the possible range of values that the random variable can take. b) Find E(X) = 4x, the expec ted value. c) Find P(X > 1). d) Find P(X > 1|X > -2).
1. Let X be a continuous random variable with probability density function f(x) = { if x > 2 otherwise 0 Check that f(-x) is indeed a probability density function. Find P(X > 5) and E[X]. 2. Let X be a continuous random variable with probability density function f(x) = = { SE otherwise where c is a constant. Find c, and E[X].
2. For a discrete random variable X, with CDF F(X), it is possible to show that P(a < X S b)-F(b) - F(a), for a 3 b. This is a useful fact for finding the probabil- ity that a random variable falls within a certain range. In particular, let X be a random variable with pmf p( 2 tor c-1,2 a. Find the CDF of X b. Find P(X X 5). c. Find P(X> 4). 3. Let X be a...
Additional Problem 4. We say that mp is the pth quantile of the distribution function F if F(mp) = p, 0<p<1. Find mp for the distribution having the following density functions: (a) f(x) = 5e*r, x > 0. (b) f(x) = ir', 0 < x < 2. -1<r1
2. A random variable X has a cdf given by F(x) = 1 . x < 0 0 < x < 1 <3 x > 3 11, (f) What is P(X = 1)? (g) Find E(X), the expectation of X. (h) Find the 75th percentile of the distribution. Namely, find the value of 70.75 SO that P(X < 70.75) = F(710.75) = 0.75. (i) Find the conditional probability P(X > X|X > 3).