AB103-2008-2009-Sem1-Exam-Soln

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 1 SOLUTIONS: AB103 Final Examination S emester 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, 4 Mi = Amount invested in Merry and Link Bonds at the beginning of year i = 1, 2, 3, 4 F2 = Amount invested in Far East Bonds at the beginning of year 2 A4 = Amount invested in American Bonds at the beginning of year 4 MMi = Amount invested in money market funds at the beginning of year year i = 1, 2, 3, 4 X = Amount accumulated at the beginning of Year 5 Maximize X The following constraints are defined: Beginning of Year 1 L1 + M1 + MM1 = 150000 Beginning of Year 2 L2 + M2 + F2 + MM2 = 1.02MM1 Beginning of Year 3 L3 + MM3 = 1.02MM2 + 1.15L1 Beginning of Year 4 A4 + MM4 = 1.02MM3 + 1.15L2 + 1.25M1 Beginning of Year 5 X = 1.02MM4 + 1.15L3 + 1.25M2 + 1.30F2 + 1.10A4

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This is exam paper ab 103

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