Homework Solutions for Math331, Fall 2008 - Section 6.3, Assignments of Mathematics

The answers to selected homework problems for math331, a college-level mathematics course taught by david anderson during the fall 2008 semester. The problems dealt with calculating expected values and variances of given probability distributions.

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Pre 2010

Uploaded on 09/02/2009

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Math331, Fall 2008
Instructor: David Anderson
Section 6.3 Homework Answers
Homework: pgs. 254 - 255, #โ€™s 1, 2, 4.
1. Differentiating shows that the density of Xis given by
f(x) = ๎˜š32xโˆ’3xโ‰ฅ4
0x < 4.
Therefore, the expected value is
E[X] = Zโˆž
โˆ’โˆž
xf(x)dx =Zโˆž
4
xร—32xโˆ’3dx
= 32 Zโˆž
4
xโˆ’2dx = 321
4
= 8.
The variance does not exist because
E[X2] = Zโˆž
4
x232 โˆ—xโˆ’2dx =Zโˆž
4
32dx =โˆž,
and so V ar(X) = E[X2]โˆ’E[X]2does not exist.
2. We are given that
f(x) = ๎˜š6(xโˆ’1)(2 โˆ’x) if 1 < x < 2
0 else
Therefore,
E[X] = Zโˆž
โˆ’โˆž
xf(x)dx =Z2
1
xร—6(xโˆ’1)(2 โˆ’x)dx
=โˆ’Z2
1๎˜€6x3โˆ’18x2+ 12x๎˜dx
=โˆ’3
2x4+ 6x3โˆ’6x2๎˜Œ
๎˜Œ
๎˜Œ
๎˜Œ
2
x=1
=3
2.
The second moment of Xis
E[X2] = Z2
1
x2ร—6(xโˆ’1)(2 โˆ’x)dx =23
10.
Therefore, V ar(X) = 23/10 โˆ’9/4 = 1/20. Thus, the standard deviation is
ฯƒX=pV ar(X) = 1
โˆš20.
1
pf2

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Math331, Fall 2008

Instructor: David Anderson

Section 6.3 Homework Answers

Homework: pgs. 254 - 255, #โ€™s 1, 2, 4.

  1. Differentiating shows that the density of X is given by

f (x) =

32 x

โˆ’ 3 x โ‰ฅ 4

0 x < 4

Therefore, the expected value is

E[X] =

โˆ’โˆž

xf (x)dx =

4

x ร— 32 x

โˆ’ 3 dx

4

x

โˆ’ 2 dx = 32

The variance does not exist because

E[X

2 ] =

4

x

2 32 โˆ— x

โˆ’ 2 dx =

4

32 dx = โˆž,

and so V ar(X) = E[X

2 ] โˆ’ E[X]

2 does not exist.

  1. We are given that

f (x) =

6(x โˆ’ 1)(2 โˆ’ x) if 1 < x < 2

0 else

Therefore,

E[X] =

โˆ’โˆž

xf (x)dx =

1

x ร— 6(x โˆ’ 1)(2 โˆ’ x)dx

1

6 x

3 โˆ’ 18 x

2

  • 12x

dx

x

4

  • 6x

3 โˆ’ 6 x

2

2

x=

The second moment of X is

E[X

2 ] =

1

x

2 ร— 6(x โˆ’ 1)(2 โˆ’ x)dx =

Therefore, V ar(X) = 23/ 10 โˆ’ 9 /4 = 1/20. Thus, the standard deviation is

ฯƒX =

V ar(X) =

  1. We have

f (x) = 3e

โˆ’ 3 x , x โ‰ฅ 0.

This is the density for an exponential random variable with parameter 3. We have

E[e

X ] =

0

e

x 3 e

โˆ’ 3 x dx = 3

0

e

โˆ’ 2 x dx = โˆ’

e

โˆ’ 2 x

โˆž

x=