AB103-2008-2009-Sem1-Exam-Soln
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Transcript of AB103-2008-2009-Sem1-Exam-Soln
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SOLUTIONS: AB103 Final Examination Semester 1, 2008-2009
Question 1
1. (A)2. (C)3. (B)4. (C)5. (D)6. (A)7. (D)8. (B)9. (E)10. (B)
Question 2
The following decision variables are defined:
Li = Amount invested in Lieman MiniBonds at the beginning of year i = 1, 2, 3, 4Mi = Amount invested in Merry and Link Bonds at the beginning of year i = 1, 2, 3, 4F2 = Amount invested in Far East Bonds at the beginning of year 2A4 = Amount invested in American Bonds at the beginning of year 4MMi = Amount invested in money market funds at the beginning of year year i = 1, 2,3, 4X = Amount accumulated at the beginning of Year 5
Maximize X
The following constraints are defined:
Beginning of Year 1L1 + M1 + MM1 = 150000
Beginning of Year 2L2 + M2 + F2 + MM2 = 1.02MM1
Beginning of Year 3
L3 + MM3 = 1.02MM2 + 1.15L1
Beginning of Year 4A4 + MM4 = 1.02MM3 + 1.15L2 + 1.25M1
Beginning of Year 5X = 1.02MM4 + 1.15L3 + 1.25M2 + 1.30F2 +
1.10A4
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Note: Variables M3, L4 and M4 are not included as they will not impact the solution.
Question 3
a. Optimal decision is to choose FD. Expected returns 2500
No Research
0.40 0.60
EQ EQ 10000.00-
4000.00 1600.00
FD 2500.00 2500.00 2500.00 2500.00
EVwPI 10000.00 2500.00 5500.00
EVPI 3000.00
EVPI = $3000Since the research costs $500 < EVPI, a priori it might be worthwhile toconduct research.
Also see Decision Tree.
b.
Revised Probabilities
P(Ik|Sj) P(Ik Sj) P(Sj | Ik)
P(Sj) I1 I2 I1 I2 I1 I2
S1 0.40 0.60 0.40 0.24 0.16 0.67 0.25
S2 0.60 0.20 0.80 0.12 0.48 0.33 0.75
0.36 0.64
S1 S2
I1 0.67 0.33
EQ 10000.00-
4000.00 5380.00
FD 2500.00 2500.00 2500.00
I2 S1 S2
0.25 0.75
EQ 10000.00-
4000.00 -500.00
FD 2500.00 2500.00 2500.00
I1 I2
0.36 0.64
5380.00 2500.00 3536.80
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Also See Decision Tree
EV with MR (after accounting for cost of research) = 3536.8-500 = 3036.8Since this is greater than the EV without MR, optimal strategy is to conduct research.Also see decision tree.
If I1 choose EQIf I2 choose FD
EVSI = EVwSI EV without SI = 3536.8 - 2500 = 1036.8.
Note:1. It is okay to work with alternate payoffs e.g., $10,000 + Returns or % returns.
Question 4
(a)
( )
( )
( ) ( )
( )
( ) ( )
22 2
2 22 2
2
2 2
0 1
02 2
1 1
6 25 16 8 69 14
6 25 16 8 69 14
16 1 14 1
i : against :
Under the test statistic where =
25 6923 26
11 7 14 9
Calculated 6 25
A A B B
A A B B
A B
A B A B
s / n s / nA B
s / n s / nA B
n n
A B
. / . /
. / . /
H H
X XH t ~ t
S S
n n
.
. .
t .
+
+
+
+
=
=
+
=
=
=
26 025 0
3 1828 69
16 14
As the calculated 3 182 2 056 we reject at =0.05
and conclude that the average profits generated by staff under the two
training programs are different.
,.
..
t . t . , H
= +
= < =
6 marks
( )
( )
2 2
26 025ii 95 confidence interval for :
6 25 8 6911.7-14.9 2 05616 14
5 268 1 132
A BA B A B ,.
A B
s s% x x t
n n
. ..
. , .
+
= +
=
2 marks
(iii) In hypothesis testing in (i) with two sided alternative hypothesis and CI in (ii)
both we used =0.05. Hence our conclusion in (i) must be consistent
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with the results in (ii), i.e., reject H0as ( )0 5 268 1 132. , . 2 marks
(b)
( ) 0
1
i : The propotion of patients with congestive heart failure and alcohol consumption
are independent.
: The propotion of patients with congestive heart failure and alcohol consumption
are not indepen
H
H
( ) ( )
( )
2
2 2
0
2
2 2
2..01 0
dent.
( )Under the test statistic ~ with 2 df.
146 131.6132 292 273.8484Calculated 10.197
131.6132 273.8484
As the calculated ( 10.197) 9.210 we reject at =0.01 and
ij ij
ij
f eH
e
H
=
= + + =
= > =
K
coclude
that the propotion of patients with congestive heart failure and alcohol consumption arenot independent.
6 marks
( )
( ) ( )
( )
025
ii Let denotethe population proportion of moderate drinkers.
95 confidence interval for :
696 1913 1 696 19136961 96
1913 1913
0 342 0 385
m
m mm m .
p
p q% p p z
n
/ /.
. , .
=
=
3 marks
We are 95 % confident that the true proportion of moderate drinkers will be inthe interval (0.342, 0.385)
1 mark
Question 5
(a)ANOVA(b)
Model Sum of Squares df Mean Square F Sig.1 Regression 30781779.116 3 10260593.039 13.869 .000(a)
Residual 13317116.157 18 739839.786
Total 44098895.273 21
a Predictors: (Constant), x3, x1, x2b Dependent Variable: y
(b)
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( ) ( )
( )
2
2
/ ( 1)Adjusted 1
/ 1
13317116.157 / (22 3 1)1 1 0.352 64.7%
44098895.273/ 21
a
i
SSE n k R
y y n
=
= = =
2 marks
This implies that the fitted model has explained 64.7% of the total sample variation in y values, afteradjusting for the sample size and the number of independent variables in the model.
1 mark
(c)
H0: 1= 2= 3= 0 against H1: At least one of 1, 2and 3not equal to 0.1 mark
, 1The test statistic ~ where =22 and =3.
Calculated 13.869
k n k
MSRF F n k
MSE
MSRF
MSE
=
= =
2 marks
The calculated F= 13.869 > F.05, 3, 18=3.16 and we conclude that at least one ofthe three variablesx1,x2 andx3 are useful for predictingy.
1 mark
(d)
H0: 1= 0 against H1: 10.
10 1
1
Under The test statistic ~ where =22 and =3.
( )
1 mark
Calculated t
n kH t t n kse
=
( )18
22.8611.25
18.293
1 mark
value 2 1.25 0.2
As the -value is very large, we fail to
P P t
p
= =
= > >
0reject for any
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(iii) 95% CI for the average difference:
( )( )
( )
2 18 025 2
2689 2 101 471 345
1698 7042 3679 2958
,. t se
. .
. , .
=
=
2 marks