# Document 12123643 ```MATH 5010 - Exam 2
Name:
Date:
You will notice that the questions on this exam resemble questions that you have seen before. However,
many of them are NOT quite the same. Read each question carefully. Each question is worth 3 points
for a total of 27 points. Although partial credit is not guaranteed, some partial credit may be awarded.
Therefore it may be in your best interest to write your steps down neatly and carefully.
1. I have a p-coin. Each toss of the coin is independent of other tosses, and each toss results in
HEADS with probability p. I will toss this coin until it lands on heads 5 times. Let X be the
number of times it will land on TAILS. Find the mass function of X.
pCx)
X+~)
( Lf jP (!- P)
0
5
X
x
r;_
[a, 11 zl ... 3,
o/~.
2. Find the fourth moment, E(X 4 ), of an exponential random variable with parameter 1 (i.e.
EXP(l)).
E0'-~) ::
ix ~e-x
co
dx:
,x=co
0
- e_-X[ )( ~ t !-/ X J + /2 X z -t 2. ~1 x
-t-
z_
J~
x=o
ZLI
3. Suppose X and Y have joint density, which, for some value of C, is given by
~ { ~cx-3,
f(x, y)
x,y
&gt;0
otherwise.
Find the variance of Y.
s(b
,
(
E '(I::: &quot;
3e
ij
- 3~
-sj [
: : -e
dj
j=&middot;co
ll
~+:sj
~=6
-
-3
I
4
3
Ef)= J~ 3e- ~dj
\
: : : -e._:s:l L~ z + _:.:J
v
C{
I
b. - l.l \ '-
1
\3 )
==
i-
l
3
r~y ) L -
.31 - = 3:
'j-m
l~
~ =o
~
4. Suppose X and Yare i.i.d UNIF(-1,1). Find the density of W =X+ Y.
fJ~)~ IF~+ Y~ ~)
w-x
CO
=5 St(x,~) dJ dx
-0)
= j&lt;ofj'l
I
&quot;'&quot;
(-f~(~) d:J
dx
-co
-co
::0
--
-C()
Jr&quot;'t:~ ~y(w-x)dx
(X)
-C()
--') tlikl) :: stl) tyt'hJ -X) J
C{)
X
-Ci)
tv~iY\ (
=:
l_,w-n)
'l ~ d~
wE (-Z,z)J
max (- \1 w- 1)
0
0/ L-V
::::1~ (IVI;n(l,'vtl)-m&laquo;x(-1 ~.v-1))
1
0
Q
w E (2, z.),
of~.
5. Suppose X andY are independent. Suppose also that X is uniform on (0, 1) andY is exponentially
distributed with parameter 1. Let U = 2X + 4Y and V = -X/3 + Y. Find the joint density of
U and V.
tu +V;: -fY
10
U-YV=- -X
)
X fo(u-Yv)=cfoU-~v
~)
:o
3
fxl''j) =
e -j
Y==f(~U+V),_foU._1:V
X E-(01 I) 1
0
j ) 0 :&gt;
O/vv.
r ( v) = .( (.J (..{._f. v
1uv
'XY 'o sLt,
3
)
j_
/(J
-(fou.-t-..1v\
TOe
s-!
u+ .1s- v)- __}_
to
.ltA
- &sect;.) v E (o, 1)
!()
&quot;'&quot;'d fc,4T~v
0
O!t.v.
&gt;0)
[ooaL\)
6. The width of a slot o~uralumin forging is (in inches) normally distributed with a mean of .7
and a variance~
.604 The specification limits were given as .8 &plusmn; .005. What percentage of
forgings will be within specification? Express your answer in terms of &lt;I&gt;(x), the cdf of a standard
normal, and then use the table at the back of this exam to evaluate it.
IP ( &middot;S-. oo.,- &lt; X &lt;.21 -+. oos-)
: 1?(~&middot;
-
.(;OS&quot;-.:r t._
,oz
X&middot;.
r {_ &middot;'13
.o~
~ ( ~. 2 s)- &quot;&sect;. ('-1.1 '))
I(-'1.t5)- I(-s.2s j
&lt; .oooz_
1
.w;
.o?
-.t)
7. Jay has two jobs to do, one after the other. Each attempt at job i takes one hour and is successful
with probability Pi&middot; If PI = .3 and P2 = .5, what is the probability that it will take Jay more than
5 hours to be successful on both jobs?
Le+ X=
Let Y ;:
it of a+-IeWifTS
:t;r
of
q
+If' vv'ft s
nredecl
VIe
fld eJ
+o
do job j_.
-~o
do
(. 3)(. 5) (. fr~ 5) 'j-]
p(x,~)=- \
X)
mofe
Lf
5-x
+he..,
5
t, OIA r
1- L L &middot;3 (. 5)'j c. 1 )
x= I
j= I
j
x&middot; \
.s)
2.
e- [ ~~ 2/ '' J
a/'-v-
0
ff( 'Saj +q kes
job
.)
•
```