How To Exam?

a knowledge trading engine...


Veer Narmad South Gujarat University 2011-3rd Year B.Com SB-0518 Statistics : ( - 3 ) . - Question Paper

Friday, 26 April 2013 12:30Web



SB-0518

Third Year B. Com. Examination March / April - 2011 Statistics : Paper - III

Time : 3 Hours]    [Total Marks : 70

(0

N Seat No.:


6silq<3i Puunkiufl SnwiA u* qsq <KH=fl. Fillup strictly the details of signs on your answer book.

Name of the Examination :

T. Y. B. Com.

Name of the Subject:

Statistics : Paper - 3

Student's Signature


-Subject Code No.:

0

5

1

8

-Section No. (1,2......): Nil

(0 wsil ,Hi<gvii Hi    %iR d.

(3) alPk&H HH HK1HH>11 h'idi    HIMIHI Hiqil.

M    <UH&

UMKl WUH HlUl :

*lo


(*l)    HLHC-il    (3K-1 td.H    d.

Hiql :

3lUl(M

A

61(3*1

B

C

X

8

7

3

60

Y

3

8

9

70

Z

11

3

5

80

HR

50

80

80

(0 UHL'SH    eGMl Hi 16    OHktf 1 = 41 ,

(x-x)2 =135 HIM. d.    faaRSl Hia 90%

(a) [HsIh fcltfiddl *1$ UM-il *10*11*1    H6t1H HUfetd 275

Hl d. 41M Hlfecft HVtt IR&d *iM EVPI Hiql.

HR

15

16

17

18

19

HtLH <t0UR

300

320

340

360

380

WHlHl

0.15

0.25

0.40

0.15

0.05

(y) UHL'SH &h[hi*(1 eftM =>H    OHktf Xj, x2, . . ., x16,

J = 48.5, X(x/_J) =240 ifo:lI = 50 Hl Htal IRSlM &Hd ?LlH\.

(m) *1$ &H[Hi*ft C-(Rc-U 4R ?HLHC-iL OHktf HIS Hdl    12

d. =A    U&SM

19, 18, 11, 9, 13, 15, 17, 13

* (*l) 4l*Wl Hfcl %LH*M.cCl :

(*0 UtfaWt (0 tkjMl Mh

(3) \l 6kl

(<h) 4R ?HLHC-i *WlHdl*iL H(l dC-il [c|Ah Z = x{ + x2 41 HtIH ?Hd -\ddH &Hd ?LlH\ :

2xj + x2 > 4 3xj + 5x2 < 20 Xj - 3x2 < 2 Xj > 0, x2 > 0

H*l<U

* (*l)    *U*ihfd    HlHl'tfd Hl 0ufeldli    Y

(H) *1$ U& <H 4t-(l IteM 2U4l*ij (3rUIAd d. it A-(l UcHi 2U41hI 2 M*i =te<Md, 5 Md HlHMRa =>Hd l Mn Mh Ah d. & B -(I ucHi 2U41hI l Mn steMd, 8 Mn <HlHl<HldS ?Hd 6 Mn Mh d. (3HH>L 6RI WgQ. d i dlcl& *L6d 5HIHHI HIS ?HLWLHL ?hM 12 Md ?*yMd, 74 Md <HlHl<HldS ?Hd 24 Md Md d. HL'HHdl &d dlriltelS *L6d Hmi HIS #*H *itlHl ?HM iSC-il <141 fcl&H. d ?LlH\.

3 (?H) Hl6d<*lH6R-{l Hldl JlRfoU 6kl Hmi HlMl    X

Min. (Min-Max.) ?Hd Max (Min-Max) dl 3ld H'fttHl.

(<h) 6-gl ?HMd .a tel. ?H %ISI (3>LHi *Ull Hied iUdl d. d Hldldl aiR    KWl kHldVt uAafl. <WU HR d.

-Mdl *lfel femldM klPdldl Hdl ?Hd [k-UHHi.

~\

5HLH d.

A

D2

D3

D4

<h

42

48

38

37

160

o2

40

49

52

51

150

0.3

39

38

40

43

190

HR

80

90

110

160

|<3. Hl6d<*lH6R =*Hd ddH *Hl HIS ttedH irfH (hpI) dl URRHS id *15H (3K1 *ilHHl 'Mc-tdl &ddl (3UH>1

H*l<U

3

3 (*l)    Hldl (3K-1    &d fl.H'&lHl.    Y

(H) 41M Hlfecft aiR    aiR M fiLLciciL-Cl HlHdl    Y

faM %UM.t *[&l (lOO-best rating) UlR d. *l<HlMH Witl d &d 5HUUd M HIS [dM *l.

M

hU*

1

2

3

4

A

60

40

60

70

B

20

60

50

70

C

20

30

40

60

D

30

10

20

40

U) *1$ &Hld [1 HHl'gH    dlldL \httti.    Y

HqciciLHl aHL=HL d. &H[dl Hil Hld d. =*H Uk&mi

5% MKl H&SM S$L.

[dtrf-I

[dL-II

[dUL-III

8

7

12

10

5

9

7

10

13

14

9

12

11

9

14

Y (*l) WR    d A.H cHR <H Q.% OtdL Hil HMl Y

d$Lcld'r0. %U*Udl H&SM M &d Sll d 'SPillHl. dH HRSll 'SPillHl.

(H)    &d H*i HWC11 6 HC-iLHLdl 61>uS    63, 65, Y

68, 69, 71 5Hd 72 tk &. d JlHlSl H*i IHCHl 10 &0dWl Sl>u    61, 62, 65, 66, 69, 70, 71, 72, 69

?Hd 73 tk Ah dl &0Hil HC-iLlHL *di Sfell &. ?HH M ?1IH ?

OH*iR <LLcL & :

*m-i

*m-2

OimI ?.

10

15

Hl& *R*l*l Hdd (3. Hi)

440

460

40

45

<H &H[Hl Uml)dl fall &HK &. ?H Hl>K'H-lL UftWil

H*l<U

Y (*i) x2    d-(l HHkl*il, (3HH>Ll WWl.    Y

(H) Hll-Cl Hlfecft HVtt %U %U Idl HlSiafL &>l *iR Y U&fl. &\ d. *IH ?1IH ?

$tl -> ARhSC-I I

dlA

*IH

*i-H &>l

5<y.

VO

X

48

10

110

168

Y

12

80

100

192

h&L

VO

60

90

210

360

U) 10 llKl HWkI C-i<Hl*S H<LU$ q=4    0.324 Y

d *A 13 .OlHl Hia    0.278 &. <Hd

Wdl d$l=ld %ll*U i k rt'j H&aSl S$L.

H (*i) Hll-iL Hfcl Hdl d$LHd    :    Y

(0    *A J>& TdHHl

(0 *iufetd d.-MlK (EOL) *id sl Hlfedl ?HUfetd (EVPl)

(h) Hi <Hi* *w Hi mr4 h Hdw. d Hd Il<ttL d.

d <Hlsl 'fc'dl 6lqM HI *Ud d tol*Ul $il 1<UHI HW. d. * H-ft Hid* &Hd ? 1 d Hd tolSl &Hd 3 . Hdl HlL WHiq.dl PUWSI dll HHL'SL d :

HR (%LUHL)

20

21

22

23

24

%i<HKdl

0.1

0.2

0.3

0.3

0.1

(*l) &HI HliWl Hd H[l[ci HLLHl Vldl i*l.

(0 =lld* ili dHR i*l.

(3) di-Mld ili dHR i*l.

M EPPI, EMV Hd EVPI ?LlH\.

H*l<U

H (h) HlldL Hfcl %LH*M.cCl :

(*0 <Md* *lfeli

(0 6*fao6dl GHHH

(3) Oidl GHhh

(<h) Hi *Hi4l <HdWdl iHdl Hi d<(l %d *Hij <HL<1 *4 d. iHdlH dl iVU W i HI *Hi (3rUIAd sl, H?Ld: i HM StHdlH i*$. iH-ftdl GrUIAddl *4liR-{l ttUlil d. H*IH crfdl Rdl HH&d d$l HHL'SL d :

(3tHlddl

vftiR

H!1

d$l(? '000 Hi) H*ld: HM

*u*l

80

70

50

i

50

45

40

hM

-25

-10

0

4Rdl [HhhI ttedH [HsIh C-il :

(*l) eUl&dl GHHH (0 fao6dl GHHH

(3) t-idl ohhh

e (?h) [kdURC-tk faeiilStd U&SM %LH*M.cCl.    Y

(H) Hll-iL <H    <?f    MlVil d. d    

5% MtM U&SM VU Hia Hd-fea-tt U&SM cUUl :

X

2.3

2.4

2.4

2.5

2.7

2.9

2.9

7

2.6

2.8

3.0

3.1

3.1

3.2

3.2

H*l<U

e (*l) [kdURC-tk uftWill ?Hael % ? dHL HLdl HlUd HtfRl*iL    Y

(H) 4Rdl Hd PtfctfMl Hlfecft Hia Hd 5H <?f    

*U<*U B HH rt UfcK-Udl U&SM %LsU    S$L :

X

13.3

14.6

13.6

17.2

14.1

10.6

15.9

14.7

14.2

Y

14.1

15.1

9.9

14.5

17.9

16.1

16.8

15.1

13.2

X

14

17.4

15.6

8.2

13.8

15.4

16.3

17.7

15

13.4

Y

18

16.3

13.3

15.8

18

20.4

15.7

21.5

14.5

16.7

X

30.4

16

13.3

13.9

21.1

14.0

16.2

11.5

10.4

12.6

18.1

Y

13.7

30.6

17.0

15.7

16.8

18.8

18.8

16.0

14.6

12.3

17.1

ENGLISH VERSION

(2)    Figures to the right indicate full marks.

(3)    Statistical tables and graph papers will be provided on request.

(4)    Simple calculator can be used.

Answer the following questions :

10


(1) Find the solution of following transportation problem by Matrix Minima method :

Origins

A

Destinations

B

C

Supply

X

8

7

3

60

Y

3

8

9

70

Z

11

3

5

80

Demand

50

80

80

(2)    A random sample of size 16 is taken from normal population gives J = 41, (x-x)2=135. Find 90% confidential limits for population variance.

(3)    During the study of a problem of decision theory, maximum value of EMV is 275. According to usual notation, obtain the value of EVPI from the following data :

Demand

15

16

17

18

19

Maximum Payoff

300

320

340

360

380

Probability

0.15

0.25

0.40

0.15

0.05

(4)    A random sample Xj, x2,..x16 is taken from Normal

population gives J = 48.5, X(x/'-*) = 240. Find the

value of statistics for hypothesis HQ : |i = 50.

(5)    A random sample of size 8 taken from the population is given below :

19, 18, 11, 9, 13, 15, 17, 13

Test the hypothesis that 'the population median is 12'.

2 (a) Explain the following terms :    6

(1)    Constraints

(2)    Objective function

(3)    Basic solution

(b) Find the minimum and maximum values of the    6

objective function Z = xl+x2 from the following inequalities :

2xj + x2 > 4

3xj + 5x2 < 20

Xj - 3x2 < 2

Xj > 0, x2 > 0

OR

2 (a) What is Linear programming ? Give its    4

mathematical formulation.

(b) A firm produces two types of tablets for Headache. 8 Each tablet of type A contain 2 Grain Aspirin, 5 Grain Bicarbonate and 1 Grain Codin. While each tablet of type B contain 1 Grain Aspirin, 8 Grain Bicarbonate and 6 Grain Codin. It could known that it is necessary to take minimum 12 Grain Aspirin, 74 Grain Bicarbonate and 24 Grain Codin to get immediate relief from Headache. Find out by Graphical method, how many tablets of both the types should be taken minimum to get quick relief from Headache ?

3 (a) Explain the Min. (Min-Max.) and Max (Min-Max)    4

method to find initial feasible solution of transportation problem.

(b) Intra Action Jute Ltd. is a leading firm in jute    8

industry. It wanted to fulfill the requirement of its own four regional depots. Following matrix shows the distance in kilometer from origin to destinations :

Destination

Origins

Dl

d2

D3

da

Supply

42

48

38

37

160

o2

40

49

52

51

150

3

39

38

40

43

190

Demand

80

90

110

160

Find the optimum programme to minimize the total transportation distance. Use Vogel's Approximation method to find out initial basic feasible solution.

OR

10

3 (a) Explain the Hungarian's method to find out the    4

solution of Assignment problem.

(b) Following data show the relative rating (100-best    4

rating) regarding the ability of four professors to teach the four courses. Assign each professor to the courses with a view to maximize educational quality.

Courses

Professors

1

2

3

4

A

60

40

60

70

B

20

60

50

70

C

20

30

40

60

D

30

10

20

40

(c) Three samples are taken from Normal population    4

with equal variance. Test the hypothesis that the population means are equal at 5% levels of significance.

Sample-I

Sample-II

Sample-Ill

8

7

12

10

5

9

7

10

13

14

9

12

11

9

14

4 (a) How will you test the significance of the difference 4 between two small sample means when samples are not in pair ? State your assumptions.

(b)    The height of 6 seamen are 63, 65, 68, 69, 71 and 4 72 inches respectively while the height of 10 soldiers

are 61, 62, 65, 66, 69, 70, 71, 72, 69 and 73 inches respectively. Can you say that the soldiers are taller than the seamen ?

(c)    Following are the data regarding random samples    4 of government employees of two states of India.

State-1 State-2

Sample size    10    15

Monthly average wages

(in    440 460

Sample variance    40    45

Test the hypothesis that 'the variances of two populations (states) are equal'.

OR

4 (a) Define y2 statistics. State its applications and    4

limitations.

(b) Can you say from the following data that the people 4 suffering from different dieseases, select the hospitals according to their dieseases ?

Diesease Hospitals -I

Fever

Tuberculosis

Other dieseases

Total

X

48

10

110

168

Y

12

80

100

192

Total

60

90

210

360

(c) Correlation coefficient between the length and bridth 4 of the head of 10 Brahmins is 0.324 and that of 13 Kshatriya is 0.278. Test the significance of difference between two correlation coefficients.

5 (a) Clarify the difference between the following terms : 4

(1)    Maxmin and Maxmax criterian

(2)    Expected Opportunity Loss (EOL) and Expected Value of Perfect Information (EVPI)

(b) A baker makes a type of Pastry at night and sales 8 it at daytime. As it is perishable, he throw away the unsold pastry. The cost of a pastry is ? 1 and its selling price is ? 3. The distribution of pastry's demand is as follows :

Demand (in numbers)

20

21

22

23

24

Probability

0.1

0.2

0.3

0.3

0.1

(1)    Create the course of Action and states of nature

(2)    Prepare the payoff matrix

(3)    Prepare the opportunity loss table.

(4)    Find EPPI, EMV and EVPI.

OR

5 (a) Explain following terms :    6

(1)    Pay-off matrix

(2)    Hurwiczg's rule

(3)    Baye's theorem.

(b) A toy manufacturing company introducing a new type 6 of a toy in the market. The company has to decide whether the production the toys is to be done at full level, partial or less. There are three levels of the acceptance of their product. The aspected conditional profit of the first year is as follows :

Acceptance of

Profit (in

o

o

p

product

Full

Partial

Less

Very good

80

70

50

Average

50

45

40

Below Average

-25

-10

0

Take the optimum decision under the following rules :

(1)    Laplas rule

(2)    Hurwiczg rule

(3)    Minmax rule

6 (a) Explain non-parametric Wilcoxen test.    4

(b) Following are two samples taken from same    8

population. Test that hypothesis at 5% level of significance using Mann Whitney test :

X

2.3

2.4

2.4

2.5

2.7

2.9

2.9

Y

2.6

2.8

3.0

3.1

3.1

3.2

3.2

OR

14

6 (a) What is non-parametric test ? Explain the scales    4

methods using in it.

(b) Test the hypothesis that the following two samples 8 are taken from the same population, by using Sign test.

X

13.3

14.6

13.6

17.2

14.1

10.6

15.9

14.7

14.2

Y

14.1

15.1

9.9

14.5

17.9

16.1

16.8

15.1

13.2

X

14

17.4

15.6

8.2

13.8

15.4

16.3

17.7

15

13.4

Y

18

16.3

13.3

15.8

18

20.4

15.7

21.5

14.5

16.7

X

30.4

16

13.3

13.9

21.1

14.0

16.2

11.5

10.4

12.6

18.1

Y

13.7

30.6

17.0

15.7

16.8

18.8

18.8

16.0

14.6

12.3

17.1

SB-0518]    15    [ 6000 ]







Attachment:

( 0 Votes )

Add comment


Security code
Refresh

Earning:   Approval pending.
You are here: PAPER Veer Narmad South Gujarat University 2011-3rd Year B.Com SB-0518 Statistics : ( - 3 ) . - Question Paper