2. Let X be a continuous random variable with the probability density function 2/x³ if x > 1 1 f(x) = = Find E(X) and Var(X) if they exist. otherwise.
2. Let X be a continuous random variable with the probability density function 2/x³ if x > 1 1 f(x) = = Find E(X) and Var(X) if they exist. otherwise.
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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![2. Let X be a continuous random variable with the probability density function
1 [2/x³
if x > 1
0
f(x) =
ECK ²) =
otherwise.
Find E(X) and Var(X) if they exist.
E(X) = 5₁ 2. to dx = ²/2 + ₁ | = ₁ + +0
S
ㅗ
4 x 4
to
vor (X) = E(²) - [E[)] ² = 1.3
1.3
4.3
=
17/11 - 12/1
4
3
4.
4² - 1/² = (1/2)
12
$12.7/3dx
2.1/3 dx = ²/₁
So
2/2 - 7/₁1/10 1/32 ₁ + +0 = 3/²
ㅎ.
ус
र्ड
6
16
IN](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcd60bfbb-cf96-4101-a36e-0ab8578e2904%2F3b804c83-210d-428a-bcd3-1912171fc4ff%2F9gmc6eq_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2. Let X be a continuous random variable with the probability density function
1 [2/x³
if x > 1
0
f(x) =
ECK ²) =
otherwise.
Find E(X) and Var(X) if they exist.
E(X) = 5₁ 2. to dx = ²/2 + ₁ | = ₁ + +0
S
ㅗ
4 x 4
to
vor (X) = E(²) - [E[)] ² = 1.3
1.3
4.3
=
17/11 - 12/1
4
3
4.
4² - 1/² = (1/2)
12
$12.7/3dx
2.1/3 dx = ²/₁
So
2/2 - 7/₁1/10 1/32 ₁ + +0 = 3/²
ㅎ.
ус
र्ड
6
16
IN
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