tugas teopel1
Task 2
Teori Peluang
Nama (NIM) :
1. Nur Azlindah
2. Novia Ani Sa’ada
3. Ika Nur Khasana
4. Ririn Wulan Mei
(14610005)
(14610018)
(14610022)
(14610028)
Continuous Random Variables
Problem 1
Choose a real number uniformly at random in the interval (2,6) and call it X
a. Find the CDF of X, Fx(X).
b. Find EX
Answer :
a. CDF of X, Fx X
=
=
=
−
−
=∫
=
dx
= −
=
Fx X {
−
−
|
,
<
>
b. Expected Value (EX)
∞
= ∫−∞ X F x dx
=∫
=∫
=
=
=
EX =
+
−
=
+
Problem 4
=
=4
Let X be a uniform (0,1) random variable, and let
a. Find the CDF of Y
b. Find the PDF of Y
c. Find EY.
Answer:
� =
� =
,
−
,
a. The CDF of Y
� = − ,
=�
For < − ,
=�
For
,
=�
=� − .
=� −
ln
=�
−ln
∞
= ∫
− ln
∞
= ∫
− ln
∞
= ∫
− ln
−
=
=
=
− .
∞
= |−
ln
=
=
− − ln
+ ln
−
,
<
So, The CDF of Y is
={
b. The PDF of Y
,
,
<
−
−
<
]
[
=
+ ln
,
[ + ln ]
=
=
So, The PDF of Y is
={
∞
,
,
−
= ∫−∞ ∙
c.
= ∫
�−
<
ℎ
�
∙
= ∫
�−
= |� −
= −
−
Problem 6
Let
that
∼
∼
� �
� �
, and
.
=
, where is a positive real number. Show
Answer:
CDF of Y
=�
=�
=�
=
So, CDF of Y is
=
=
[
=
=−
=−
=
−
−
]
−
[ −
−
∙
�
�
]
[−
−
∙( )
−
−
=
−
−
( )
∼
So, it is evident that
Problem 8
Let x ~ N (3,9)
a. Find P (x > 0)
b. Find P (-3 < x < 8)
c. Find P (x > 5|x > 3)
Answer :
X is a normal random variable with
a. P(x > 0) = FX (0)
= Φ
–
= Φ −
=Φ
= 0.46
. From this, we can write the PDF of Y
]
� �
=
.
dan σ = √ = , thus we have
b. P(-33) =
=
P x> , x>
=
P x>
P x>
P x>
–Φ
–Φ
−Φ
–Φ
=
=
Problem 9
Let
.
–
.
>
We have
Thus
�
>
=
=
=
=
−Φ
.
.
– .
~� ,
and =
a. Find �
>
b. Find � − < <
c. Find � > | <
Answer :
a. �
−
–Φ
=
=
5−
= 0.5
−
and �
−Φ
−Φ
�
→ �=
=
−
−
− Φ −
= − ,
= ,
b. Find � − < <
Using theorem
= −
−
=
. Since
,
~�
,�
ℎ
=
+
� =
� = −
So ~ � ,
Therefore
� − <
<
= −
=
+
=
−
−
)−Φ
�
�
−
− −
= Φ(
) − Φ(
)
= Φ(
= Φ( ) − Φ −
c. Find �
�
> | <
> | <
= ,
= ,
− ,
=�
> | −
> | >
=�
=
=
�
�
�
=
=
=
=
= ,
<
> , >
� >
>
>
− Φ
−Φ
− Φ
−Φ
− Φ
,
−Φ
,
−
�
−
�
−
−
Problem 11
Let x~Exponential (2) and Y=2+3x
a. Find P(x>2)
b. Find E[Y] and Var(Y)
c. Find P(x>2|Y
�
>
=
=
=
b.
= −
= −
= −
=
=
�
c. �
=
=�
=
+ x
+
+
+
=
+
+
+
+�
( )
=
( )=
>
|
<
=�
=
=
=
�
�
�
−
>
| +
<
<
> , <
� <
<
− −
− −
>
Problem 14
Let X be a random variable with the following CDF
;
=
{
+
<
;
;
<
<
;
a. Find the generalized PDF of X,
b. Find
using
c. Find �
using
.
Answer:
The graph CDF of X
FX(x)
1,5
1
0,5
0
0
0,5
< ,
For
=
=
=
[
[ ]
]
1
1,5 x
For
< ,
=
]
[
=
=
[ + ]
From the graph PDF of X.
The graph PDF of X
fx(x)
1,2
1
0,8
0,6
0,4
0,2
0
0
0,5
a. The PDF of X,
=
=
=
b.
−
−
=
using
=
=
=
+
+
,
,
1
1,5
x
c. �
=
using
�
=
=
=
=
=
−
−
Teori Peluang
Nama (NIM) :
1. Nur Azlindah
2. Novia Ani Sa’ada
3. Ika Nur Khasana
4. Ririn Wulan Mei
(14610005)
(14610018)
(14610022)
(14610028)
Continuous Random Variables
Problem 1
Choose a real number uniformly at random in the interval (2,6) and call it X
a. Find the CDF of X, Fx(X).
b. Find EX
Answer :
a. CDF of X, Fx X
=
=
=
−
−
=∫
=
dx
= −
=
Fx X {
−
−
|
,
<
>
b. Expected Value (EX)
∞
= ∫−∞ X F x dx
=∫
=∫
=
=
=
EX =
+
−
=
+
Problem 4
=
=4
Let X be a uniform (0,1) random variable, and let
a. Find the CDF of Y
b. Find the PDF of Y
c. Find EY.
Answer:
� =
� =
,
−
,
a. The CDF of Y
� = − ,
=�
For < − ,
=�
For
,
=�
=� − .
=� −
ln
=�
−ln
∞
= ∫
− ln
∞
= ∫
− ln
∞
= ∫
− ln
−
=
=
=
− .
∞
= |−
ln
=
=
− − ln
+ ln
−
,
<
So, The CDF of Y is
={
b. The PDF of Y
,
,
<
−
−
<
]
[
=
+ ln
,
[ + ln ]
=
=
So, The PDF of Y is
={
∞
,
,
−
= ∫−∞ ∙
c.
= ∫
�−
<
ℎ
�
∙
= ∫
�−
= |� −
= −
−
Problem 6
Let
that
∼
∼
� �
� �
, and
.
=
, where is a positive real number. Show
Answer:
CDF of Y
=�
=�
=�
=
So, CDF of Y is
=
=
[
=
=−
=−
=
−
−
]
−
[ −
−
∙
�
�
]
[−
−
∙( )
−
−
=
−
−
( )
∼
So, it is evident that
Problem 8
Let x ~ N (3,9)
a. Find P (x > 0)
b. Find P (-3 < x < 8)
c. Find P (x > 5|x > 3)
Answer :
X is a normal random variable with
a. P(x > 0) = FX (0)
= Φ
–
= Φ −
=Φ
= 0.46
. From this, we can write the PDF of Y
]
� �
=
.
dan σ = √ = , thus we have
b. P(-33) =
=
P x> , x>
=
P x>
P x>
P x>
–Φ
–Φ
−Φ
–Φ
=
=
Problem 9
Let
.
–
.
>
We have
Thus
�
>
=
=
=
=
−Φ
.
.
– .
~� ,
and =
a. Find �
>
b. Find � − < <
c. Find � > | <
Answer :
a. �
−
–Φ
=
=
5−
= 0.5
−
and �
−Φ
−Φ
�
→ �=
=
−
−
− Φ −
= − ,
= ,
b. Find � − < <
Using theorem
= −
−
=
. Since
,
~�
,�
ℎ
=
+
� =
� = −
So ~ � ,
Therefore
� − <
<
= −
=
+
=
−
−
)−Φ
�
�
−
− −
= Φ(
) − Φ(
)
= Φ(
= Φ( ) − Φ −
c. Find �
�
> | <
> | <
= ,
= ,
− ,
=�
> | −
> | >
=�
=
=
�
�
�
=
=
=
=
= ,
<
> , >
� >
>
>
− Φ
−Φ
− Φ
−Φ
− Φ
,
−Φ
,
−
�
−
�
−
−
Problem 11
Let x~Exponential (2) and Y=2+3x
a. Find P(x>2)
b. Find E[Y] and Var(Y)
c. Find P(x>2|Y
�
>
=
=
=
b.
= −
= −
= −
=
=
�
c. �
=
=�
=
+ x
+
+
+
=
+
+
+
+�
( )
=
( )=
>
|
<
=�
=
=
=
�
�
�
−
>
| +
<
<
> , <
� <
<
− −
− −
>
Problem 14
Let X be a random variable with the following CDF
;
=
{
+
<
;
;
<
<
;
a. Find the generalized PDF of X,
b. Find
using
c. Find �
using
.
Answer:
The graph CDF of X
FX(x)
1,5
1
0,5
0
0
0,5
< ,
For
=
=
=
[
[ ]
]
1
1,5 x
For
< ,
=
]
[
=
=
[ + ]
From the graph PDF of X.
The graph PDF of X
fx(x)
1,2
1
0,8
0,6
0,4
0,2
0
0
0,5
a. The PDF of X,
=
=
=
b.
−
−
=
using
=
=
=
+
+
,
,
1
1,5
x
c. �
=
using
�
=
=
=
=
=
−
−