Solutions to Problem Set #7 in ECE 413, Fall 2004, University of Illinois, Assignments of Statistics

The solutions to problem set #7 in the ece 413 course offered by the university of illinois during the fall 2004 semester. Various probability distribution-related problems, including the exponential distribution and expected values.

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University Solutions to Problem Set #7 ECE 413
of Illinois Page 1 of 3 Fall 2004
45.
E[
Points
] = 10(1/10) + 5(2/10) + 3(2/10) = 2.6
46. (a)
E[|Xa|] = ZA
a
xa
Adx +Za
0
ax
Adx =A
2aa2
A
d
da(·) = 2a
A1 = 0 a=A/2
(b)
E[|Xa|] = Z
0
(ax)λeλxdx +ZA
a
(xa)λeλxdx
=a(1 eλa) + aeλa +eλa
λ1
λ+aeλa +eλa
λaeλa
Dierentiation yields that the minimum is attained at
a
where
eλa = 1/2
or
a= log(2)
47. Since the exponential distribution is memoryless, the probability that the radio will
be working after an additional years is
1F(8) = e1.
48.
E[Xk] = Z
0
xkλeλxdx
=λkZ
0
(λx)kλeλxdx
=λkΓ(k+ 1) = k!k
49. Using Equation
(6.3)
on p.
222
of Ross,
E[X] = B(a+ 1, b)
B(a, b)=Γ(a+ 1)
Γ(a+b+ 1)
Γ(a+b)
Γ(a)=a
a+b
E[X2] = B(a+ 2, b)
B(a, b)=Γ(a+ 2)
Γ(a+b+ 2)
Γ(a+b)
Γ(a)=(a+ 1)a
(a+b+ 1)(a+b)
Thus,
V ar(X) = E[X2](E[X])2=(a+ 1)a
(a+b+ 1)(a+b)a2
(a+b)2=ab
(a+b+ 1)(a+b)2
pf3

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Download Solutions to Problem Set #7 in ECE 413, Fall 2004, University of Illinois and more Assignments Statistics in PDF only on Docsity!

of Illinois Page 1 of 3 Fall 2004

  1. E[Points] = 10(1/10) + 5(2/10) + 3(2/10) = 2. 6
  2. (a)

E[|X − a|] =

∫ A

a

x − a A dx^ +

∫ (^) a

0

a − x A dx^ =^

A

a −

a^2 A

d da

(·) =^2 a A

− 1 = 0 ⇒ a = A/ 2

(b)

E[|X − a|] =

0

(a − x)λe−λxdx +

∫ A

a

(x − a)λe−λxdx

= a(1 − e−λa) + ae−λa^ + e

−λa λ

λ

  • ae−λa^ + e

−λa λ

− ae−λa

Dierentiation yields that the minimum is attained at a where

e−λa^ = 1/ 2 or a = log(2/λ)

  1. Since the exponential distribution is memoryless, the probability that the radio will be working after an additional years is 1 − F (8) = e−^1.

E[Xk] =

0

xkλe−λxdx

= λ−k

0

(λx)kλe−λxdx

= λ−kΓ(k + 1) = k!/λk

  1. Using Equation (6.3) on p. 222 of Ross,

E[X] = B(a^ + 1, b) B(a, b)

= Γ(a^ + 1) Γ(a + b + 1)

Γ(a + b) Γ(a)

= a a + b E[X^2 ] =

B(a + 2, b) B(a, b) =^

Γ(a + 2) Γ(a + b + 2)

Γ(a + b) Γ(a) =^

(a + 1)a (a + b + 1)(a + b)

Thus,

V ar(X) = E[X^2 ] − (E[X])^2 = (a^ + 1)a (a + b + 1)(a + b)

− a

2 (a + b)^2

= ab (a + b + 1)(a + b)^2

of Illinois Page 2 of 3 Fall 2004

E[X] =

0

x2(e−^3 x^ + e−^6 x)dx = 2

0

xe−^3 xdx +

0

xe−^6 xdx

Likewise,

E[X^2 ] =

0

x^2 2(e−^3 x^ + e−^6 x)dx = 2

0

x^2 e−^3 xdx +

0

x^2 e−^6 xdx

Hence, V ar(X) = E[X^2 ] − (E[X])^2 =

54 −^

182 =^

Note that P (|X| < 2) = P (X < 2) since X is positive valued. Therefore,

P (|X| < 2) =

0

2(e−^3 x^ + e−^6 x)dx = 2

0

e−^3 xdx +

0

e−^6 xdx

3 e

− 2 / 3 +^1

6 e

− 2 / 6

E[X] =

−∞

xf (x)dx + 1 · P (X = 1) +

1

xf (x)dx + 2 · P (X = 2) +

2

xf (x)dx

1

x 3 dx^ + 2^ ·^

E[X^2 ] =

−∞

x^2 f (x)dx + 1 · P (X = 1) +

1

x^2 f (x)dx + 4 · P (X = 2) +

2

x^2 f (x)dx

1

x^2 3

dx + 4 · 1 3

=^22

Hence, V ar(X) = E[X^2 ] − (E[X])^2 = 367.

Note that P (|X − 1 | < 1) = P (0 < X < 2). Therefore,

P (|X − 1 | < 1) =

0

f (x)dx + P (X = 1) +

1

f (x)dx =

0

3 dx^ +