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Pre University Board 2009 STATISTICS in Pdf (KAN & ENG version) - Question Paper

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[ Total No. of Printed Pages : 15

Code No. 31

Total No. of Questions : 42 ]

June/July, 2009

STATISTICS

( Kannada and English Versions )

Time : 3 Hours 15 Minutes ]    [ Max. Marks : 100

( Kannada Version )

: i) rraoX Xrt>SDct Xedsrt XdosrtDdd

ii)    d,q>aX rt raXed Xd    d<>eA,dDdD.

<=i

iii)    ysDrd 00s, doJrt>S, rOjjdsA JeO,JX@dDQ.

- A

I. X>AS d;4,rt>SD JO :    10 x 1 = 10

7 l    <=i    0

1.    aerDDdd dZ dDO.

2.    wdd ddrd ,>>,oXd d 0&,dDJd ?

*    co    6    eo _o

3.    >,j<DdS d roXdSo drDdsrt /d dsd (JX) rt>o d <>eA,DJsd ?

_D

4.    y< eD dZ dDO.

5.    SrS dd) JrtdXd ddrt>D /d)d) ?

6.    dpe,s Jd}D ,ds,O 9 wAdsri dd d/SX <3dSd XodoSDO.

7.    dd rXd dZ dDO.

8.    t-Jd}(D ,dS,O 0dDj ?

9.    odD wDeD edD, S,eds> -A d <>dd) 5 wdd,

3,eds> - B d osd 0dDj ?

10.    odD JSjdXdSYdDd SSJrt odD dsdd} Xs.

II. X>A    drtn Sn :    10 x 2 = 20

11.    Od ddrd O dd ,dS,0 K,OZ6O 1,50,000 WAdS. de ddrdS w d&.radS oisd edoS    ,oZ 6,000 wAdSd.

co    eo    co    6    ->

ssnsdd Xs dddo XodoSo.

12.    2 P 0 q 1 = 250 doS 2 p 1 q 1 = 400 wdd, dsd $ ,s6oXdbR Xodoso.

13.    ns,X $ ,spXd dZ do.

14.    ys< ,e ed}o 0>ddo dertrtb, $n.

>J    CO    t

15.    odo add Sd}( ,cs,0 4 doSo 5 wAdS d.

o3    _o    _o

e$Xo doe eXdra aeS doS ad\ eXdra ysdra XS.

16.    odo Esdz >Sd}<), P 1 doS p2 rt> $rt> 0jbSod ?

17.    d/X 3 dd od ,dod 25 nsS,d)> odo /dX do won SnDsnd. d<d ,os,oo a<S deddb, XodoSo.

18.    ode d doSOo 0dde dd dedrt> dZ doo.

19.    odo -ed*" dd ,SoSspXd) 7 wAdsrt, dd ,cs,0 doS

XodoSO.

20.     X> n L.P.P. (,d > deeo X,d>$ ,d,) rtdoan :

aod n>dOj,

x + 2y < 9 x < 3

do So

_D

x > 0, y > 0

wnds n, z = 3x + 5y oJ nodrtn.

CO 7    ct    

odo de> x = - 2 dSOo y = 4 wdd, dod X L.P.P. n d ossd dsrtod)de ? ad\, SdX ssdrad $n.

21. d> A A do e-w d/drt B do e-w d/ddo doO :

B

B i

B 2

A i

- 1

- 2

A

A 2

3

4

A 3

- 5

- 6

22.    aod rtora adoorad d/d)d>dd 0ddo ddertrt>o

- C

III. d> Ad)n> d/d)d>dd 0o&o drtn O :    8 x 5 = 40

dodoadoO :


23.     d>A d>oaod ,>d/, ddod dd doo ,dort, ddod ddrt>o

_0 > * >-*

&)e>x3

( z!rri>Q )

ori,d a,oZ6

,oZ

ASFR

15 - 19

10,000

500

10

20 - 24

15,000

900

100

25 - 29

14,000

1,400

120

30 - 34

13,000

800

90

35 - 39

9,000

400

50

40 - 44

6,000

150

20

45 - 49

3,000

50

10

24. ,>pdd dZ doO. ,>>pdd d/d)d>dd dodo ddertrt>o

25. X> A d>o2 X, nD,d X d .oXdb XbbO d d>,} daod

_o 6 y    6    t3    *

XodoSbO :

-2

&dd z3 ( dti.rt>Q )

z3

( dti.rt&Q )

z?dd

A

100

120

60

B

40

50

30

C

25

25

10

26. X> A y< 2,ert di&rX < ,d,Ort> dbX dd rt>b

XodoSbO :

r

2001

2002

2003

2004

2005

2006

2007

2008

( d>.rl&Y )

100

120

150

160

170

190

200

210

27.    odb Srtbodb odb ,eddrt rtcod ,oddaeidbJ 1 wAdbd. aco,

* 2 -

&Sribodrt>b od ,eddrt rtbO d/S dc>Ad. eddidbb d,o,rt$,co

4    <=i oi

dbdb &Sribodbrt> rtSdd ,Xb.

i)    ,eddbb doddribd

ii)    <d/d)de Srtbodo ,edd<dbb rtde dbd ,odaebJrt>bJ XodbSbO.

   ot

28.    odb ddd adrdS odb abddS ,>,o 3 ddd Xdrt>b

co    <=i

eXO,. odb aarj abddS, dsb

i)    <d/>d)de Xd n>b, eXOd

ii)    0d d 3,o d e Xdrt>bJ fyeXO&d

6    ti    ot ci

,oddaebJrt>bJ XodoSbO.

   ot

29.    odb <d/d,X d<dbSdbd 100 d,rt>Sdbd d,,<db >Xd

ZJ ey    CO    2j    CO    <yJ

,d,Obb 497 3.TO0. dd d/X (dDb 02 3.TO0. wAdb d. 5%

Zs    o    J/    _o

osdr ddS,, dadd d;,<dD ,g,o >Xd) 5 a.resp.Ao XSdb ddbe 0odb dOeS.

30.    odb ,d/6 dd <dbb 81 wAd. dd 21 d,brt> <(dDb 100 wAd. 1% osdr ddS, db<d <db ,d<d bod dAd <de 0odb dOeS,.

ot    od

31. X>A dod 5 drt ddoddd) d d/dod)dd ddco doo od    d.

_D

*3

Z)

A

B

C

D

E

d d dsd<o dd de d

_D _D

90

90

100

88

99

d"J\ d od dd de d

4 ) _0 _0

88

90

95

86

96

5% <5"3\w dOjd dd) ddoot dSdO d/dDd)d? 0OdO 3d)

$43O,Od ?

32. d$oj dO d<eA, X>A 3,edoO S.

jt&d>3 - B

B 1

B 2

B 3

B 4

A 1

1

2

0

- 3

jt&d>0 - A

A 2

4

6

3

5

A 3

3

- 1

- 2

0

33. odo <ood $<doo d&. 40,000 wAd. $ed $ed drrt>< dd dodod;o $ doo ad r} d rt>. X>n ddo>Ad :

3    -e    ti ot

r

d ( dti.rt&CY)

id

( -a.rt>Q)

1

30,000

1,000

2

25,000

1,200

3

23,000

2,000

4

20,000

2,800

5

18,000

4,000

6

15,000

5,500

(oo, dod}<o dd 43,odbt arO.

34.    oo oea /Oya $dd<S, e(ooXo oa p1 = 001 wAdod. d$o ><oora4 100 na>)> dodo do><o doe

dodd, np-deza> ( np-chart) ><oora    XodoSoO.

- D

IV. X> A)rt>Y /)ad 0rfo    O :    2 x 10 = 20

35.     X>A ao2Qo A doo B ndn> Xa dodra d oo SoX dodra

_o    _o    _o

drt>D Xoo&SoO :

ct

( )

rid- A

n- - b

a,oZ6

a,oZ6

a,oZ6

0 - 20

5,000

100

7,000

105

1,000

20 - 50

14,000

392

15,000

465

5,000

50 - 70

20,000

300

25,000

500

3,000

70

_D

doeoj&oj

1,000

200

3,000

390

1,000

36. X>A doX, d ,a6oXoct XodoSoO. d ,&a6oX) Xj 3"ap2X@ ,oo oar O?X\ oo    dar

OeX.rt >o S, d 0oo eO :

oOk    ct y _0    _0

z3 (d&.)

,2

2007

2008

2007

2008

A

10

15

5

6

B

20

21

9

10

C

9

9

3

6

37. d> y< ert y = a + bx + cx 2 dddo 4d4o o d>4 4rtr >Qod ,ode :

&,J (&&*'rt>&t)

2002

8

2003

10

2004

11

2005

12

2006

14

2007

15

2008

17

2009 e 44fS    oo oro&.

CO    <yJ 0    c

38. &>o OTra,rt>;o 128 ,< te4ovAd 4oo d>A draob, 4d<D>Ad:

>    c    O    o    ct

gdrt&tioZ,. (X)

0

1

2

3

4

5

6

7

tfzbOv&Xritf tioZ6

(J)

7

7

21

30

26

20

14

3

d o4 d@ 044 d}(oo Bo 4oo 5% oyr 4oj0 44 d } oo ><o , 4oo&,4e 0o4o 4Oe3.

- E

v. d>A /)e 0-3 44$ o :    2x5 = 10

39.    o4o sra4/6 d}oY Q 1 = 40 4oo Q 3 =60 wAdod. d}(o , d>, O, ord 4oo >< rt>o dodoSoO.

40.    o4o ra.4 400 ,< te4ovAd. w 400 te4oovdrt>0 220 ,<

6 <=i    o    o    c-3

oo 44<o>oo. 5% <y\wr 4ojd<,    0>o

43,od@ do4 ?

41. ddod> doo ,>d\d rtorart>b ;,od>Addoe 0odo dOeaoo 100 dooa d.d, d doo 200 dooa d,d, d doe ;3aZdoo.

eUk cp    >    eOk cp    c

d/do>oo. az> So d>Aod :

d.d, do

<*A cp

25

75

100

d,d, do

oOk cp

50

150

200

75

225

300

1% <y>\wr dojdY -ec6, dOedjdoR

42. odo d rd, 10,000 d,n> ead d. doA oo,d dd d. 200

v    >    Li

doo adr}> dd) d dirt d drd@ d&. 10 doA ood>o,d)do d,rado> rto d doo d,o n> ddJrt d5>< . >n>dd

oOk    cn o    _o    _o    cn

i)    odo ,da n>,

ii)    o, do eadrt> do ,dodo

) _D

iii)    o6do eadrt> ,oZ6

iv)    da d>&rd ,d>,O ,ortj}> d

dn>o dodoaoO.

Note : i) Statistical tables will be supplied on request.

ii)    Scientific calculators may be used.

iii)    All working steps should be clearly shown.

SECTION - A

I.    Answer the following questions :    10 x 1 = 10

1.    Define Longevity.

2.    What is the value of an index number during the base year ?

3.    Which weights are used in the construction of Laspeyres price index number ?

4.    Define Time Series.

5.    What are the values that a Bernoulli variate can take ?

6.    If mean of Poisson Distribution is 9, then find its Standard Deviation.

7.    Define Statistic.

8.    What is the meaning of t-distribution ?

9.    In a rectangular game, the gain of player-A is 5. Then what is the gain of other player-B ?

10.    Give an example for defect in a product.

SECTION - B

II.    Answer any ten of the following questions :    10 x 2 = 20

11.    In a year, the average population of a town was 1,50,000. The number of live births occurred in that year in the town was 6,000. Find the Crude Birth Rate.

12.    If 2 P 0 q 1 = 250 and 2 P 1 q 1 = 400, compute suitable price index number.

13.    Define Consumer Price Index Number.

14.    State two uses of analysis of Time Series.

15.    The mean and variance of a Binomial distribution are 4 and 5 respectively. Comment on this statement and give reason to your comment.

16.    What are the values of P 1 and P 2 in a Normal Distribution ?

17.    A random sample of size 25 is drawn from a population whose standard deviation is 3. Find the standard error of the Sample Mean.

18.    Define Type-I and Type-II errors.

19.    The degrees of freedom of a Chi-square variate is 7. Find its mean and variance.

20.    Consider the following L.P.P. :

Maximize Z = 3x + 5y,

Subject to x + 2y < 9 x < 3 and x > 0, y > 0. suppose x = - 2 and y = 4.

Is it a solution to the given L.P.P. ? Give reason to your answer.

21.    For the following pay-off matrix of A, write down the pay-off matrix of B :

B

B 1

B 2

A 1

- 1

- 2

A

A 2

3

4

A 3

- 5

- 6

22. State any two uses of Statistical Quality Control.

11    Code No. 31 SECTION - C

III. Answer any eight of the following questions :    8 x 5 = 40

23. From the following data, compute General    Fertility Rate and Total

Fertility Rate :

Age ( years )

Female

Population

Number of Live Births

Quinquennial

ASFR

15 - 19

10,000

500

10

20 - 24

15,000

900

100

25 - 29

14,000

1,400

120

30 - 34

13,000

800

90

35 - 39

9,000

400

50

40 - 44

6,000

150

20

45 - 49

3,000

50

10

24.    Define Index Number. State any three uses of index numbers.

25.    From the following data, compute Consumer Price Index Number by

Family Budget Method :

Item

Base Year Price (Rs.)

Current Year Price (Rs.)

Weight

A

100

120

60

B

40

50

30

C

25

25

10

26. For the following time series obtain the trend values by finding

3-yearly moving averages.

Year

2001

2002

2003

2004

2005

2006

2007

2008

Sales (Rs.)

100

120

150

160

170

190

200

210

27. The probability that a bomb hits the bridge is 1 . Four bombs are

aimed at the bridge. Three bomb-hits are enough to destroy the bridge. Find the probability that

i)    the bridge is destroyed,

ii)    none of the bombs hit the bridge.

28.    On an average a telephone operator receives 3-telephone calls per minute. Find the probability that in a particular minute she

i)    does not receive any call

ii)    receives more than two calls.

29.    A random sample of 100 tins of Vanaspati has a mean weight 4-97 kg and standard deviation 0-2 kg. Test at 5% level of significance that the tins, on an average, have less than 5 kg Vanaspati.

30.    A normal variate has variance 81. Twenty-one random observations of the variate have variance 100. Test at 1% level of significance whether the sample variance differs significantly from the population variance.

31.    The following data represents the Blood pressure of 5 persons before and after performing Dhyana :

Person :

A

B

C

D

E

Blood Pressure before Dhyana

90

90

100

88

99

Blood Pressure after Dhyana

88

90

95

86

96

Can we conclude at 5% level of significance that Dhyana reduces Blood pressure ?

32. Solve the following game using the principle of dominance :

Player A

B

B 1

B 2

B 3

B 4

A 1

1

2

0

- 3

A 2

4

6

3

5

A 3

3

- 1

- 2

0

33. The cost of a machine is Rs. 40,000. Its resale value and maintenance cost at different ages are given below :

Year

Resale Value (Rs.)

Maintenance Cost (Rs.)

1

30,000

1,000

2

25,000

1,200

3

23,000

2,000

4

20,000

2,800

5

18,000

4,000

6

15,000

5,500

Determine the optimal age of replacement.

34.    In a fish-net manufacturing process, the proportion defective is p 1

= 0-01. If process control is based on samples of size 100 each, find the control limits for np-chart.

SECTION - D

IV. Answer any two of the following questions :    2 x 10 = 20

35.    From the following data, calculate Crude Death Rates and Standardised Death Rates of two cities A and B :

Age ( Years )

City - A

City - B

Standard

Population

Population

Deaths

Population

Deaths

0 - 20

5,000

100

7,000

105

1,000

20 - 50

14,000

392

15,000

465

5,000

50 - 70

20,000

300

25,000

500

3,000

70 & above

1,000

200

3,000

390

1,000

36. For the following data, compute Fishers Price Index Number. Show that Fishers index number satisfies Time Reversal Test and Factor Reversal Test for the given data :

Item

Price ( Rs. )

Quantity

2007

2008

2007

2008

A

10

15

5

6

B

20

21

9

10

C

9

9

3

6

37. For the following time series fit a parabolic trend of the type y = a + bx + cx 2 by the method of least squares.

Year

Production (tons )

2002

8

2003

10

2004

11

2005

12

2006

14

2007

15

2008

17

Estimate the production in 2009.

38. Seven coins are tossed 128 times and the following distribution is obtained :

Number of Heads( X )

0

1

2

3

4

5

6

7

Number of Tosses ( j )

7

7

21

30

26

20

14

3

Fit a Binomial Distribution to the data and test for goodness of fit at 5% level of significance.

39.    In a Normal Distribution Q 1 = 40 and Q 3 = 60. Then find Mean, Quartile Deviation and Standard Deviation of the distribution.

40.    A coin is tossed 400 times. Among these 400 tosses, head appears 220 times. Can we conclude at 5% level of significance that the coin is unbiased ?

41.    In order to test whether attributes Smoking and Literacy are independent, a survey was conducted on 100 literates and 200 illiterates. The result of the survey is as follows :

Smokers

Non-Smokers

Total

Literates

25

75

100

Illiterates

50

150

200

Total

75

225

300

Apply Chi-square test at 1% level of significance.

42. There is a demand for 10,000 items per year. The replenishment cost is Rs. 200 and the maintenance cost is Rs. 10 per item per year. Replenishment is instantaneous and shortages are not allowed. Find

i)    the optimal lot size

ii)    the optimum time between orders

iii)    the optimum number of orders

iv)    the minimum annual average inventory cost.

[ Turn over


[ Total No. of Printed Pages : 15

Code No. 31

Total No. of Questions : 42 ]

June/July, 2009

STATISTICS

( Kannada and English Versions )

Time : 3 Hours 15 Minutes ]    [ Max. Marks : 100

( Kannada Version )

: i) rraoX XejXrt>DR Xedsrt XdosrtDdd

ii)    d,q>aX rt raXed Xd rart>o d<>eA,dDdD.

iii)    ysDrd 0s, doJn>R rOjjdsA JeOrJXdD.

- A

I. X>A 0s d;4,rt>SD JO :    10 x 1 = 10

7 l    <=i    0

1.    aerod dZ dDO.

2.    wdsd drd ,>>,oXd d 0&,dDJd ?

*    co    6    eo _o

3.    >,j<DdS d roXdSo drDdsrt /d dsd (JX) rt>o d <>eA,DJsd ?

_D

4.    ys< eD dZ dDO.

5.    Sir dd) JrtdXd ddrt> /d)d) ?

6.    dpe,s Jd}D ,ds,O 9 wAdsrt dd d/SX <3Sd XodoSDO.

7.    dd rXd dZ dDO.

8.    t-Jd}D ,dS,O 0Dj ?

9.    odD wDeD 3)edD, 3,eds> - .A <d <>dd) 5 wdd,

3,eds> - B d osd 0Dj ?

10.    odD JSjdXdSYdDd SSJrt odD dsdd} Xs.

II. X>A (d/d)dadd) drtrt JO :    10 x 2 = 20

11.    odo ddrdS, odo d&rad ,da,O ,oZ6oo 1,50,000 wAdoJd. de ddrdS w d&.radS oiad edoJ    ,oZ, 6,000 wAdoJd.

co    eo    co    6    -c

anadd Xa dddo XodoSoO.

1$

12.    S p 0 q 1 = 250 doJo S p 1 q 1 = 400 wdd, idad dd ,a6oXdoct XodoSoO.

13.    na,d X dd ioXd daZ,, doO.

14.    ya< 2,e 2 ed}(do 0ddo ddertrtD $&.

J    CO    ct

15.    odo add Jd}(do ,da,O 4 doJo 5 wAdoJ d.

o3    _o    _o

deXido doed ijeXdra aeS doJo ado& ieXdraX yadra XS.

16.    odo ,ad/6 >Jd}oS, p 1 do Jo p2 n> ddrt> iaJOJd ?

17.    d/X 3 dod od idojood 25 naJ,d)> odo (d/dX do <doo wO JrtidooaAd. do<do ,da,O<do a<doJ dedd XodoSoO.

18.    ode d do Jo 0dde dd dedrt> daZ,, doO.

19.    odo -ied* dd |JojapXd) 7 wAdart, dd ,da,O do JO <dooct XodoSoO.

20.     X> A L.P.P. (,d > deeido X,dop ,do,6) oDr rtdoa :

aod rt>duoj,

x + 2y < 9 x < 3

do Jo

_D

x > 0, y > 0 wAda n, Z = 3x + 5y D rtOdrt$&.

CO 7    ct    

odo de> x = - 2 doJo y = 4 wdd, dodo X L.P.P. n d Oad dartod)de ? ado& JdX@ yadrado $&.

21. X> A A o e-w d/Xrt B o e-w d/Xoo doO :

B

B 1

B 2

A 1

- 1

- 2

A

A 2

3

4

A 3

- 5

- 6

22.    edoX rtora ><oorad /d)ddd 0dd ddertrt>o

- C

iii. x> Ad)n> /d)ddd 0o&o dnn o :    8 x 5 = 40

dodolaSoO :


23.     X>A d>oQod ,d/, ddoX dd doo ,dort, ddoX ddrt>o

( z!rri>Q )

ori,d a,oZ6

tfezlog ari> ,oZ

aO

ASFR

15 - 19

10,000

500

10

20 - 24

15,000

900

100

25 - 29

14,000

1,400

120

30 - 34

13,000

800

90

35 - 39

9,000

400

50

40 - 44

6,000

150

20

45 - 49

3,000

50

10

24. odd dZ doO. ,ai6odd /d)ddd dodo d<>ertrt>o

25. X> dSSO X, ns,X ,&s.oXdb Xo&oo d Sds,} dsaod

-e v y    6    ot    ti    *

Xodb&Soo :

-2

&dd z3 ( dti.rt>Q )

>&rti z3

( d>.rt>Q )

id-

A

100

120

60

B

40

50

30

C

25

25

10

26. X> n ys< ,ert Sds&rX <s ,ds,ort> doX dd rt>o

Xodb&Soo :

2001

2002

2003

2004

2005

2006

2007

2008

( d>.rl&Y )

100

120

150

160

170

190

200

210

27.    odo nSrtoodo odo ,eSodrt Srtcod ,odaeoS 1 wAdoSd. ssco,

nSribodbrt>b od ,eSodrt no d/S ds>Ad. ,eSbdbo d,o,rt$,co

ot    ct oi

dodo nSrtoodbrt>o SrtSdd ,sXd.

i)    ,eSodoo dodsrtbd

ii)    /d)de nSrtood ,eSbdbbR Srtde dbd ,odaebSrt>bJ XodoSoo.

   ot

28.    odb ddds adsrS odo aod ,cs,o 3 ddds Xdrt>o

CO    ot

nXo,-. odo aarj a&bd, dsb

i)    /d)de Xd rt >0r n/Xo,d

ii)    0d d3,oS e Xdrt>oJ n,eXo,d

6    ti    ot ci

,odaebSrt>oJ XodSoo.

   ot

29.    odo </d,X db><ddod 100 d,rt>dod d,,<d SXd

ZJ ey    CO    2J    CO    <yJ

,ds,obb 497 &ns,o. doSo d/X (db 02 a.ns,o. wAdoS d. 5%

Zs    o    J/    _o

05s\wr dod,, daJrt>,dd d;,<d ,cs,o SXd) 5 a.nsp.floS XSdo ddbe 0odo doen.

30.    odo ,sd/6 dd <do 81 wAd. dd 21 dn> <(db 100 wAd. 1% ossr dojd, do<d <do ,db<d ood $ds>Ad <de 0odo doeS.n.

ot    oOk

31. d>A dod 5 drt dddd) d\ d/dod)dd ddoo doo od ,,o d.

_D

S>.3

Z)

A

B

C

D

E

d d dsd<o dd de d

_D _D

90

90

100

88

99

dw d od dd de d

) _0 _0

88

90

95

86

96

5% <5"3\w dod,, dd) ddodddo dSdo d/dod)de 0odo 3d) 43,o,od ?

32. 4$oi do 4eA&, d>A 3,ed<oo S.

3,e&ei>j - B

B i

B 2

B 3

B 4

A i

1

2

0

- 3

- A

A 2

4

6

3

5

A 3

3

- 1

- 2

0

33. odo oo,d <oo d&. 40,000 wAd. ed ed ddrrtS, dd dodod;o doo ad r } d    d>n ddoAd :

ZJ    -e    1$ ot

sIsF

zbcb>3X&b zSd> ( ti.rt&CY )

id

( ti>.rl&Y )

1

30,000

1,000

2

25,000

1,200

3

23,000

2,000

4

20,000

2,800

5

18,000

4,000

6

15,000

5,500

oo, dod}<o dd 43,odo >dO.

34.    odo oea d/Oy ddodoS, deddood dd) P1 = 001 wAdod. d$do adoorad) 100 TOd)> ddodo dodo doe dOOdd, np-dez>d ( np-chart ) adoora ort>o dodoaoO.

- D

IV. d> Ad)n>, d/d)ddd 0do dnn O :    2 x 10 = 20

35.     d>A d>oQod A doo B rtdrt> d dodra dd doo adod dodra

_o    _o    3    _o

ddrto dodoaoO :

ot

c&d/d ( )

rid- A

n- - b

a,oZ6

a,oZ6

a,oZ6

0 - 20

5,000

100

7,000

105

1,000

20 - 50

14,000

392

15,000

465

5,000

50 - 70

20,000

300

25,000

500

3,000

70 doo

_D

doeoj&oj

1,000

200

3,000

390

1,000

36. d>A dod@ dd aodd dodoaoO. dd aodd) dj dso0d@ ,dodo dddr dOed\ doo ddr dd"3dr

d Oed.rt >o da, d 0odo eO :

oOk    c y _0    _0

z3 (d&.)

,2

2007

2008

2007

2008

A

10

15

5

6

B

20

21

9

10

C

9

9

3

6

37. X> A 2,ert y = a + bx + cx 2 ddd,dbd dddd ddd, Xado drtr daod ,ode :

r"

sjj (&s?ri$&Y)

2002

8

2003

10

2004

11

2005

12

2006

14

2007

15

2008

17

2009 e ddrd    dd, od&.

CO    <yJ 0    ct

38. ara,rt>d 128 ,< dcAd dd X>A dradd, dddoc>Ad:

>    ci    &    _D

&ri> tioZ6 (X )

0

1

2

3

4

5

6

7

tfsb:)vXri> tioZ6 (f)

7

7

21

30

26

20

14

3

d o2 x@ add dradd zb d 5% osdr dd, add d } (do >d , do&,de 0od dOea.

- E

V. X>A d/d)de 0dd d;4trtn O :    2x5=10

39.    od sradz6 drad, Q 1 =40 db Q 3 =60 wAcbd. d}d , d>, O, ddrX dobo ad    XodSbO.

40.    od sra.dd 400 ,< dcAd. w 400 tfdb*aXrt> 220 ,<

6 ct    S'    S'    C3

Cdd dddc>bd. 5% osdr dd, d) d)ddAd 00 d/dX, d ddbd ?

41. d>dod> doo ,d\d rtorart>b ,odiAd<oe 0odo dOeaoo 100 doa d.d, d do 200 dooa d,d, d doe aZ<do

eUk cp    >    eOk qj    c

d/doioo. az dio X>Aod :

d.d, do

oOk qi

25

75

100

d,d, do

oOk qj

50

150

200

75

225

300

1% <5i\wr dod r,/d6' dOeX\do

42. odo d drX, 10,000 d, n> $esX d. doA oo,d dd d. 200

v    >    ti

doo adr} dd) d,o,>n d ddrX@ d&. 10 doA ooX>o,d)do d.radoi rto d do d, n> XdJrt dsi< . sinidd

oOk    cn o    _o    _o    cn

i)    od ,da ni,

ii)    o, do $esXn> d ,d<d

) _D

iii)    3o63edo $eSXrt> ,oZ6

iv)    da dird ,di,O ,ortj}i dE

   y    ti

d)rt>o dodasoo.

Note : i) Statistical tables will be supplied on request.

ii)    Scientific calculators may be used.

iii)    All working steps should be clearly shown.

SECTION - A

I.    Answer the following questions :    10 x 1 = 10

1.    Define Longevity.

2.    What is the value of an index number during the base year ?

3.    Which weights are used in the construction of Laspeyres price index number ?

4.    Define Time Series.

5.    What are the values that a Bernoulli variate can take ?

6.    If mean of Poisson Distribution is 9, then find its Standard Deviation.

7.    Define Statistic.

8.    What is the meaning of t-distribution ?

9.    In a rectangular game, the gain of player-A is 5. Then what is the gain of other player-B ?

10.    Give an example for defect in a product.

SECTION - B

II.    Answer any ten of the following questions :    10 x 2 = 20

11.    In a year, the average population of a town was 1,50,000. The number of live births occurred in that year in the town was 6,000. Find the Crude Birth Rate.

12.    If 2 p 0 q 1 = 250 and 2 p 1 q 1 = 400, compute suitable price index number.

13.    Define Consumer Price Index Number.

14.    State two uses of analysis of Time Series.

15.    The mean and variance of a Binomial distribution are 4 and 5 respectively. Comment on this statement and give reason to your comment.

16.    What are the values of p 1 and p 2 in a Normal Distribution ?

17.    A random sample of size 25 is drawn from a population whose standard deviation is 3. Find the standard error of the Sample Mean.

18.    Define Type-I and Type-II errors.

19.    The degrees of freedom of a Chi-square variate is 7. Find its mean and variance.

20.    Consider the following L.P.P. :

Maximize Z = 3x + 5y,

Subject to x + 2y < 9 x < 3 and x > 0, y > 0. suppose x = - 2 and y = 4.

Is it a solution to the given L.P.P. ? Give reason to your answer.

21.    For the following pay-off matrix of A, write down the pay-off matrix of B :

B

B i

B 2

A i

- 1

- 2

A

A 2

3

4

A 3

- 5

- 6

22. State any two uses of Statistical Quality Control.

11    Code No. 31 SECTION - C

III. Answer any eight of the following questions :    8 x 5 = 40

23. From the following data, compute General    Fertility Rate and Total

Fertility Rate :

Age

( years )

Female

Population

Number of Live Births

Quinquennial

ASFR

15 - 19

10,000

500

10

20 - 24

15,000

900

100

25 - 29

14,000

1,400

120

30 - 34

13,000

800

90

35 - 39

9,000

400

50

40 - 44

6,000

150

20

45 - 49

3,000

50

10

24.    Define Index Number. State any three uses of index numbers.

25.    From the following data, compute Consumer Price Index Number by

Family Budget Method :

Item

Base Year Price (Rs.)

Current Year Price (Rs.)

Weight

A

100

120

60

B

40

50

30

C

25

25

10

26. For the following time series obtain the trend values by finding

3-yearly moving averages.

Year

2001

2002

2003

2004

2005

2006

2007

2008

Sales (Rs.)

100

120

150

160

170

190

200

210

27. The probability that a bomb hits the bridge is 1 . Four bombs are

aimed at the bridge. Three bomb-hits are enough to destroy the bridge. Find the probability that

i)    the bridge is destroyed,

ii)    none of the bombs hit the bridge.

28.    On an average a telephone operator receives 3-telephone calls per minute. Find the probability that in a particular minute she

i)    does not receive any call

ii)    receives more than two calls.

29.    A random sample of 100 tins of Vanaspati has a mean weight 4-97 kg and standard deviation 0-2 kg. Test at 5% level of significance that the tins, on an average, have less than 5 kg Vanaspati.

30.    A normal variate has variance 81. Twenty-one random observations of the variate have variance 100. Test at 1% level of significance whether the sample variance differs significantly from the population variance.

31.    The following data represents the Blood pressure of 5 persons before and after performing Dhyana :

Person :

A

B

C

D

E

Blood Pressure before Dhyana

90

90

100

88

99

Blood Pressure after Dhyana

88

90

95

86

96

Can we conclude at 5% level of significance that Dhyana reduces Blood pressure ?

32. Solve the following game using the principle of dominance :

Player A

B

B 1

B 2

B 3

B 4

A 1

1

2

0

- 3

A 2

4

6

3

5

A 3

3

- 1

- 2

0

33. The cost of a machine is Rs. 40,000. Its resale value and maintenance cost at different ages are given below :

Year

Resale Value (Rs.)

Maintenance Cost (Rs.)

1

30,000

1,000

2

25,000

1,200

3

23,000

2,000

4

20,000

2,800

5

18,000

4,000

6

15,000

5,500

Determine the optimal age of replacement.

34.    In a fish-net manufacturing process, the proportion defective is p 1

= 0-01. If process control is based on samples of size 100 each, find the control limits for np-chart.

SECTION - D

IV. Answer any two of the following questions :    2 x 10 = 20

35.    From the following data, calculate Crude Death Rates and Standardised Death Rates of two cities A and B :

Age ( Years )

City - A

City - B

Standard

Population

Population

Deaths

Population

Deaths

0 - 20

5,000

100

7,000

105

1,000

20 - 50

14,000

392

15,000

465

5,000

50 - 70

20,000

300

25,000

500

3,000

70 & above

1,000

200

3,000

390

1,000

36. For the following data, compute Fishers Price Index Number. Show that Fishers index number satisfies Time Reversal Test and Factor Reversal Test for the given data :

Item

Price ( Rs. )

Quantity

2007

2008

2007

2008

A

10

15

5

6

B

20

21

9

10

C

9

9

3

6

37. For the following time series fit a parabolic trend of the type y = a + bx + cx 2 by the method of least squares.

Year

Production (tons )

2002

8

2003

10

2004

11

2005

12

2006

14

2007

15

2008

17

Estimate the production in 2009.

38. Seven coins are tossed 128 times and the following distribution is obtained :

Number of Heads( X )

0

1

2

3

4

5

6

7

Number of Tosses ( f )

7

7

21

30

26

20

14

3

Fit a Binomial Distribution to the data and test for goodness of fit at 5% level of significance.

39.    In a Normal Distribution Q 1 = 40 and Q 3 = 60. Then find Mean, Quartile Deviation and Standard Deviation of the distribution.

40.    A coin is tossed 400 times. Among these 400 tosses, head appears 220 times. Can we conclude at 5% level of significance that the coin is unbiased ?

41.    In order to test whether attributes Smoking and Literacy are independent, a survey was conducted on 100 literates and 200 illiterates. The result of the survey is as follows :

Smokers

Non-Smokers

Total

Literates

25

75

100

Illiterates

50

150

200

Total

75

225

300

Apply Chi-square test at 1% level of significance.

42. There is a demand for 10,000 items per year. The replenishment cost is Rs. 200 and the maintenance cost is Rs. 10 per item per year. Replenishment is instantaneous and shortages are not allowed. Find

i)    the optimal lot size

ii)    the optimum time between orders

iii)    the optimum number of orders

iv)    the minimum annual average inventory cost.

[ Turn over


[ Total No. of Printed Pages : 15

Code No. 31

Total No. of Questions : 42 ]

June/July, 2009

STATISTICS

( Kannada and English Versions )

Time : 3 Hours 15 Minutes ]    [ Max. Marks : 100

( Kannada Version )

: i) sod dedo dedrt ddo>rtod)do.

ii)    dqad n rade4 dd 4<>eA,odo.

iii)    yrd 001, on>, ,jjdA eO,d@doQ.

- A

I. d>A 0> 4,4rt>bJ O :    10 x 1 = 10

7 l    <=i    0

1.    QeFood dZ doO.

2.    wdd drd ,>>,odd 0&,dod ?

*    co    6    eo _o

3.    o>,j<od oddo, d,odrt /d >d (d) n>o 4 <>eA,od ?

_D

4.    y< 4,eo dZw doO.

5.    if dd) Jndodjd n> /d)d) ?

6.    4pe, d}o ,d,o 9 wArort dd d/d (oo dodoSoO.

7.    4d 4rdd dZ doO.

8.    t-d}o ,d,O 0oJ ?

9.    odo woeo Sedo, 3,ed>>:o - A <o >d) 5 wdd,

,ed>o - B o 0oj ?

10.    odo ddddod    odo dd} dS.

II. d>A d/d)ddd drtn Sp :    10 x 2 = 20

11.    odo ddrd, odo drad ,dj,O K,oZ6doo 1,50,000 wAdod. de ddrd w d&,radS old edoS    ,oZ, 6,000 wAdoSd.

co    eo    co    6    -c

jnjdd ds, dddo dodoaoO.

1$    ct

12.    S P 0 q 1 = 250 doSo S p 1 q 1 = 400 wdd, idd ioddo dodoaoO.

13.    n3 d ijodd djZ doO.

14.    y< ,e ed}do 0ddo d<dertrt>o .

V    CO    ct

15.    odo a,dd Sd}do ,dj,O 4 doS 5 wAdoS d.

o3    0    _o

e$ddo doe ieddra aea doSo ado& ieddrad, yjdra da.

16.    odo ud/6 >Sd}do, p 1 doSo p2 n> drt> dod ?

17.    d/d 3 dod od ,dojood 25    odo d/dd do doo wO SrtdooAd. dodo ,dj,Odo adoS deddb, dodoaoO.

18.    ode d doSo 0dde dd dedrt> djZ doO.

19.    odo -ed*" dd ISosspdd) 7 wAdjrt, dd ,dj,O doSo doo dodoaoO.

20.     d> A L.P.P. (,d > deedo d,dop ,do,6) dob, rtdoa :

aod ndj,

x + 2y < 9 x < 3

do So

_D

x > 0, y > 0 wAdJ n, Z = 3x + 5y rtOdrt$&.

CO 7    ct    

odo de> x = - 2 doSo y = 4 wdd, dodo d&j L.P.P. rt d Od djrtod)de ? ado& Sdd yjdrado $.

21. X> A A db e-w d/Xrt B db e-w d/Xdbb dbO :

B

B 1

B 2

A 1

- 1

- 2

A

A 2

3

4

A 3

- 5

- 6

22.    edoX rtbra adborad d/d)ddd 0dd dertrt>b $&.

- C

iii. x> Ad)n> d/d)ddd 000 d;4tnn o :    8 x 5 = 40

XodoSbO :


23.     X>A d>o2aod ,d/, ddoX dd dbd ,dbrt, ddoX ddrt>b

eVd/:

( slrri>&s)

ori*d arf*oZ6

tfezlog

*oZ

ASFR

15 - 19

10,000

500

10

20 - 24

15,000

900

100

25 - 29

14,000

1,400

120

30 - 34

13,000

800

90

35 - 39

9,000

400

50

40 - 44

6,000

150

20

45 - 49

3,000

50

10

24. oXd dZw dbO. oXd d/d)ddd dbdb dertrt>b

25. X> A djao2 X, nadX d iia.oXdo Xo&oo d Jdai} daaod

-e v y    6    ct    ti    

XodoSoO :

,2

-2

&dd z3

( d.n>Y)

X>& z3 ( d>.rt>Q )

%dd

A

100

120

60

B

40

50

30

C

25

25

10

26. X> A ya< 2,ert Jda&rX <a ,da,Ort> doX dd ddrt>o

XodoSoO :

2001

2002

2003

2004

2005

2006

2007

2008

/dd

( d>.n>Y )

100

120

150

160

170

190

200

210

27.    odo Srtoodo odo ,eJdrt Jrtood ioddaeidoJ 1 wAdoJd. saoo,

&Sri0od0rt>o odo ,eJodn rtoO d/S doaAd. ieJOdoD d.oirtioo

ct    ct oi

dodo Srtoodort> JrtSdd iaXo.

i)    ,eJdoo doidartod

ii)    <d/d)de Srtoodo ieJOdoo Jrtde dod ioddaeidoJD XodoSoO.

   ct

28.    odo ddda awards odo aoddS idaiO 3 ddda Xdrt>o

Cn    ct

eXOioJa. odo aard aoddS, d>o

i)    <d/d)de Xd n >, eXOid

ii)    0d d 3,oJ d Xdrt>oJ fyeXOiod

U    1$    ct oi

ioddaeidoJD XodSoO.

   ct

29.    odo <d/d,X do><doSdod 100 d,rt>Sdod diido JXd

0 ey    cn    zJ    cn    <yJ

idaiODD 497 s.na,o. doJ d/X (doo 02 s.na,o. wAdoJ d. 5%

Zs    -e    J/    _o

oydr dodS,, dSod dido idaiO JXd) 5 S.na,o.AoJ XSdo ddbe 0odo dOeS.

30.    odo iad/6 dd <doo 81 wAd. dd 21 d,ort> (doo 100 wAd. 1% oyadr dodS, do<do <doo idoido ood $ddaAd <doe 0odo dOeS,.

ct    oOk

31. X>AS dJd, 5 d,rt> ddJdd) d\S d/dbd)dd ddco dJ SoJd ,,dJ d.

_D

S>.3

Z)

A

B

C

D

E

d d dsd<D dX deJ d

_D _D

90

90

100

88

99

ds, d SoJd dX deJ d

) _0 _0

88

90

95

86

96

5% o"3\wr dDjd,, dsd) dXodJoddSD, Xsdo d/dod)de 0odD sd)

$d>D,Dd ?

32. d;DJcz JJdSb, deA&, X>AS edDS s.

jt&d>3 - B

B 1

B 2

B 3

B 4

A 1

1

2

0

- 3

3,e&d>b - A

A 2

4

6

3

5

A 3

3

- 1

- 2

0

33. odD DoJ;d <dd d&. 40,000 wAd. ed ed ddrrt>, dd dDdDX;D d J ad r } d rt>SD. X>n XdosAd :

ZJ    -e    1$    ot

zbcb>3X&b z3 ( -fi.ritfQ )

id

( )

1

30,000

1,000

2

25,000

1,200

3

23,000

2,000

4

20,000

2,800

5

18,000

4,000

6

15,000

5,500

(doJ dosd}D ,>Xodsd dDdSD, adrO.

34.    odo oea S/oss doo, dedoX bdsSd) p1 = 001 wAdoSod.    aooSxd) 100 nsS,d)> dodo do><d doe doondd, np-dezsSxd ( np-chart ) abOSra bn>bCR Xodb&Soo.

- D

iv. x> Ad)rt>, /d)dsdd 0do dnn Son :    2 x 10 = 20

35.     X>A dsoaod A doSo B rtdrt> Xs dodra dd doSo aoSXS dodra

_o    _o    _o    >

ddn>oJ Xodb&Soo :

ot

cVdjO

( s>rrt>n )

slrtti - A

n - B

attcZ

a&tfcZ

attcZw

0 - 20

5,000

100

7,000

105

1,000

20 - 50

14,000

392

15,000

465

5,000

50 - 70

20,000

300

25,000

500

3,000

70 doSo

_D

dbeOjbj

1,000

200

3,000

390

1,000

36. X>A dSo <d ,s6oXdbR XodbSoo. d ,spXd) Xj dSo ,doo ddsdSr doeX\ doSo ddSr ddsdSr

d oeX.rt >b dS,S d 0odo Seon :

oOk    ct & 0    0

z3 (-&.)

,2

2007

2008

2007

2008

A

10

15

5

6

B

20

21

9

10

C

9

9

3

6

37. X> A ert y = a + bx + cx 2 ddd,dod dddd ddoo dad drtr diod ,ode :

SiST

&,J (&&*'rt>&t)

2002

8

2003

10

2004

11

2005

12

2006

14

2007

15

2008

17

2009 e ddrd , oo Odi.

cn    <yJ o    c

38. ira,rt>o 128 ,< dvOiAd doo X>A draob, ddooiAd:

>    c    O    0

gri>,oZ (X)

0

1

2

3

4

5

6

7

tfzbOv&ri> tioZ6 (f)

7

7

21

30

26

20

14

3

d o X@ add d}(do on) doo 5% oiSr dod, add d } oo , doo&,de 0odo dOea.

- E

V. X>A /d)de 0rfo dn O :    2x5=10

39.    odo srad/6 d}oY Q 1 =40 do Q 3 =60 wAdod. d}o , di, O, odrd do a <rt>o dodasoO.

40.    odo ira,dd 400 ,< dvOiAd. w 400 dootXn> 220 ,<

6 <=i    o    o    c-3

<do dddoioo. 5% 055\jr dd, >ra6d d)dadiAd 00 di/dX, id) dSod ?

41. ddbd dbbo Xjd rtbrart>o dodiAdbe 0odb dOeS\,<b 100 doa X,d, d dd 200 dboa X,d, d de daZdd,

eUk qj    _o    eUk qj    ct

d/dcibd. dazi dio X>Aod :

X,d, d

oOk qj

25

75

100

X,d, db

oOk qj

50

150

200

75

225

300

1% <yi\wdr dbjd, -ed1 dOeXdd >.

42. od d rX, 10,000 dd n> esX d. dA dodd dd d. 200

v    >    Li

dd adrd}i dd) d, ddrt d, ddrX@ d&. 10 dA doXddd dX.radci dd d dd dd n> Xddrt dyi . dinidd

oOk    CO    0    _0    _0    CO

i)    ddd ,dS rrad,

ii)    db.d do esXn> d ,d<d

) _D

iii)    sbdb eSXrt> ,oZ6

iv)    Xa dirX ,di,O ,ort,d}i dE

   j/    i$

d)rt>d, XodosbO.

Note : i) Statistical tables will be supplied on request.

ii)    Scientific calculators may be used.

iii)    All working steps should be clearly shown.

SECTION - A

I.    Answer the following questions :    10 x 1 = 10

1.    Define Longevity.

2.    What is the value of an index number during the base year ?

3.    Which weights are used in the construction of Laspeyres price index number ?

4.    Define Time Series.

5.    What are the values that a Bernoulli variate can take ?

6.    If mean of Poisson Distribution is 9, then find its Standard Deviation.

7.    Define Statistic.

8.    What is the meaning of t-distribution ?

9.    In a rectangular game, the gain of player-A is 5. Then what is the gain of other player-B ?

10.    Give an example for defect in a product.

SECTION - B

II.    Answer any ten of the following questions :    10 x 2 = 20

11.    In a year, the average population of a town was 1,50,000. The number of live births occurred in that year in the town was 6,000. Find the Crude Birth Rate.

12.    If 2 P 0 q 1 = 250 and 2 P 1 q 1 = 400, compute suitable price index number.

13.    Define Consumer Price Index Number.

14.    State two uses of analysis of Time Series.

15.    The mean and variance of a Binomial distribution are 4 and 5 respectively. Comment on this statement and give reason to your comment.

16.    What are the values of p 1 and p 2 in a Normal Distribution ?

17.    A random sample of size 25 is drawn from a population whose standard deviation is 3. Find the standard error of the Sample Mean.

18.    Define Type-I and Type-II errors.

19.    The degrees of freedom of a Chi-square variate is 7. Find its mean and variance.

20.    Consider the following L.P.P. :

Maximize Z = 3x + 5y,

Subject to x + 2y < 9 x < 3 and x > 0, y > 0. suppose x = - 2 and y = 4.

Is it a solution to the given L.P.P. ? Give reason to your answer.

21.    For the following pay-off matrix of A, write down the pay-off matrix of B :

B

B i

B 2

A i

- 1

- 2

A

A 2

3

4

A 3

- 5

- 6

22. State any two uses of Statistical Quality Control.

SECTION - C

III. Answer any eight of the following questions :    8 x 5 = 40

23. From the following data, compute General Fertility Rate and Total

Fertility Rate :

Age ( years )

Female

Population

Number of Live Births

Quinquennial

ASFR

15 - 19

10,000

500

10

20 - 24

15,000

900

100

25 - 29

14,000

1,400

120

30 - 34

13,000

800

90

35 - 39

9,000

400

50

40 - 44

6,000

150

20

45 - 49

3,000

50

10

24.    Define Index Number. State any three uses of index numbers.

25.    From the following data, compute Consumer Price Index Number by

Family Budget Method :

Item

Base Year Price (Rs.)

Current Year Price (Rs.)

Weight

A

100

120

60

B

40

50

30

C

25

25

10

26. For the following time series obtain the trend values by finding

3-yearly moving averages.

Year

2001

2002

2003

2004

2005

2006

2007

2008

Sales (Rs.)

100

120

150

160

170

190

200

210

27. The probability that a bomb hits the bridge is 1 . Four bombs are

aimed at the bridge. Three bomb-hits are enough to destroy the bridge. Find the probability that

i)    the bridge is destroyed,

ii)    none of the bombs hit the bridge.

28.    On an average a telephone operator receives 3-telephone calls per minute. Find the probability that in a particular minute she

i)    does not receive any call

ii)    receives more than two calls.

29.    A random sample of 100 tins of Vanaspati has a mean weight 4-97 kg and standard deviation 0-2 kg. Test at 5% level of significance that the tins, on an average, have less than 5 kg Vanaspati.

30.    A normal variate has variance 81. Twenty-one random observations of the variate have variance 100. Test at 1% level of significance whether the sample variance differs significantly from the population variance.

31.    The following data represents the Blood pressure of 5 persons before and after performing Dhyana :

Person :

A

B

C

D

E

Blood Pressure before Dhyana

90

90

100

88

99

Blood Pressure after Dhyana

88

90

95

86

96

Can we conclude at 5% level of significance that Dhyana reduces Blood pressure ?

32. Solve the following game using the principle of dominance :

Player A

B

B 1

B 2

B 3

B 4

A i

1

2

0

- 3

A 2

4

6

3

5

A 3

3

- 1

- 2

0

33. The cost of a machine is Rs. 40,000. Its resale value and maintenance cost at different ages are given below :

Year

Resale Value (Rs.)

Maintenance Cost (Rs.)

1

30,000

1,000

2

25,000

1,200

3

23,000

2,000

4

20,000

2,800

5

18,000

4,000

6

15,000

5,500

Determine the optimal age of replacement.

34.    In a fish-net manufacturing process, the proportion defective is p 1

= 0-01. If process control is based on samples of size 100 each, find the control limits for np-chart.

SECTION - D

IV. Answer any two of the following questions :    2 x 10 = 20

35.    From the following data, calculate Crude Death Rates and Standardised Death Rates of two cities A and B :

Age ( Years )

City - A

City - B

Standard

Population

Population

Deaths

Population

Deaths

0 - 20

5,000

100

7,000

105

1,000

20 - 50

14,000

392

15,000

465

5,000

50 - 70

20,000

300

25,000

500

3,000

70 & above

1,000

200

3,000

390

1,000

36. For the following data, compute Fishers Price Index Number. Show that Fishers index number satisfies Time Reversal Test and Factor Reversal Test for the given data :

Item

Price ( Rs. )

Quantity

2007

2008

2007

2008

A

10

15

5

6

B

20

21

9

10

C

9

9

3

6

37. For the following time series fit a parabolic trend of the type y = a + bx + cx 2 by the method of least squares.

Year

Production (tons )

2002

8

2003

10

2004

11

2005

12

2006

14

2007

15

2008

17

Estimate the production in 2009.

38. Seven coins are tossed 128 times and the following distribution is obtained :

Number of Heads( X )

0

1

2

3

4

5

6

7

Number of Tosses ( f )

7

7

21

30

26

20

14

3

Fit a Binomial Distribution to the data and test for goodness of fit at 5% level of significance.

39.    In a Normal Distribution Q 1 = 40 and Q 3 = 60. Then find Mean, Quartile Deviation and Standard Deviation of the distribution.

40.    A coin is tossed 400 times. Among these 400 tosses, head appears 220 times. Can we conclude at 5% level of significance that the coin is unbiased ?

41.    In order to test whether attributes Smoking and Literacy are independent, a survey was conducted on 100 literates and 200 illiterates. The result of the survey is as follows :

Smokers

Non-Smokers

Total

Literates

25

75

100

Illiterates

50

150

200

Total

75

225

300

Apply Chi-square test at 1% level of significance.

42. There is a demand for 10,000 items per year. The replenishment cost is Rs. 200 and the maintenance cost is Rs. 10 per item per year. Replenishment is instantaneous and shortages are not allowed. Find

i)    the optimal lot size

ii)    the optimum time between orders

iii)    the optimum number of orders

iv)    the minimum annual average inventory cost.


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