Problem 2) The CDF of random variable W is 0 w +5 8 Fw (w) = 1111111 4 1 3(w-3) 8 4 + x <-5 -5≤w<-3 -3 ≤w <3 3 ≤w <5 w≥ 5 a) Find P[W ≤ 4]. b) Find P[-2 < W ≤ 2]. c) Find P[W> 0]. d) What is the value of a such that P[W ≤a] : = 0.5.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1) The cumulative distribution function of random variable X is:
0
x<-1
x + 1
Fx(x)
a) Find P[X > 1/2].
b) Find P[-1/2 < X < 3/4].
c) Find P[IX ≤ 1/2].
Problem 2) The CDF of random variable Wis
0
w +5
d) What is the value of a such that P[X ≤ a] = 0.8.
e) Find the PDF fx (x) of X.
Fw (w) =
a) Find the constant c.
b) Find P[0 ≤ x ≤ 1].
1
c) Find P[-1/2 ≤ X ≤ 1/2].
d) Find the CDF Fx (x).
1
4
1
Define the random variable Y by Y
a) Find E[X] and Var[X].
b) Find h(E[X]) and E[h(X)].
c) Find E[Y] and Var[Y].
8
+
2
1
3(w - 3)
8
-1<x< 1
x ≥ 1
a) Find P[W≤ 4].
b) Find P[-2 < W ≤ 2].
c) Find P[W > 0].
d) What is the value of a such that P[Wa] = 0.5.
Problem 3) The random variable X has the following probability density function:
fx(x) = {cx
= h(x)
x <-5
-5 ≤w <-3
-3 ≤w <3
=
3 ≤w<5
w ≥ 5
Problem 4) Continuous random variable X has the following PDF:
-1≤x≤3
fx(x) = 4
otherwise
X²
CX 0≤x≤2
otherwise
Transcribed Image Text:Problem 1) The cumulative distribution function of random variable X is: 0 x<-1 x + 1 Fx(x) a) Find P[X > 1/2]. b) Find P[-1/2 < X < 3/4]. c) Find P[IX ≤ 1/2]. Problem 2) The CDF of random variable Wis 0 w +5 d) What is the value of a such that P[X ≤ a] = 0.8. e) Find the PDF fx (x) of X. Fw (w) = a) Find the constant c. b) Find P[0 ≤ x ≤ 1]. 1 c) Find P[-1/2 ≤ X ≤ 1/2]. d) Find the CDF Fx (x). 1 4 1 Define the random variable Y by Y a) Find E[X] and Var[X]. b) Find h(E[X]) and E[h(X)]. c) Find E[Y] and Var[Y]. 8 + 2 1 3(w - 3) 8 -1<x< 1 x ≥ 1 a) Find P[W≤ 4]. b) Find P[-2 < W ≤ 2]. c) Find P[W > 0]. d) What is the value of a such that P[Wa] = 0.5. Problem 3) The random variable X has the following probability density function: fx(x) = {cx = h(x) x <-5 -5 ≤w <-3 -3 ≤w <3 = 3 ≤w<5 w ≥ 5 Problem 4) Continuous random variable X has the following PDF: -1≤x≤3 fx(x) = 4 otherwise X² CX 0≤x≤2 otherwise
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