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Madurai Kamraj University (MKU) 2007 B.A Economics Quantitative Tecniques MKDDU - Question Paper

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This Is for the MK DDU - BA Economics Course, and please Refer to the Attached File,

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. (7 pages)

. 6119/E22 I    OCTOBER 2007

QUANTITATIVE TECHNIQUES

(For those who joined in July 2003 and after)

Time : Three hours    Maximum : 100 marks

SECTION A (4 x 10 = 40 marks)

Answer any FOUR questions.

1.    dCLpQ<5rrffiuuL@OTOTffLD6inun-(ii)ffi6W6rT<;Sit.

4    4

x + = 3 iD(mniix> y h = -3. y    x

Solve the following equations :

4    4

x + = 3 and y A = -3 . y    x

(a)    Find the equation of the straight line passes through the points (2, 2) and (4, 8).    (5)

(b)    Write the equation of the straight line of gradient 2/3 and which makes negative intercept of 4 units on the y -axis.    (5)

3. (SiCLp Q[rffiuuil@6tT6TT ffrriTLiffiisrragj dp-sa) ajifloDff iDfbpii) paiffrLirLb suifle&ff cu0DffiffiQffi(Lp!)su strsiffr.

, . *3 + 4x1 +5

(b) Y= logOc4-4x3+2*2+10).

Find the first order and the second order derivatives of the following functions :

x3 + 4x2 + 5

(a) r.=

(x2+l)3

(b) Y = log(x4 -Ax3 +2x2 +10).

4. qaTetfluSlujsiSlsiT (y5<5<fluj]6u0n aSl&Jifl. Explain the importance of statistics.

5.    S.D.-g ffi6ror(5li51ii|.. i51ifla|@aoi_Qai6ifl: 0-10 10-20 20-30 30-40 40-50

lansoQaiswr: 25 40 35 60 . 30

Calculate S.D. from the following data :

C.I. 0-10 10-20 20-30 30-40 40-50 Frequency: 25 40 35 60 30

6.    <Gy> QnffiffiuuL_6iTGrT oSlajcrrijffiGiflaSjBgj Glu0<seu ffijirffifl LDfbpib    sirsk.

X: 50-60 60-70 70-80 80-90 90-100 100-110 f: 5 25 45 30 8    7

Find the geometric mean and the Harmonic mean from the following data :

X: 50-60 60-70 70-80 80-90 90-100' 100-110 f: 5 25 45 30 8    7

7.    <$Lp<sffi6wn_ aS)GLnrr&jffi6tfl6iS)0r5gji <srrira) ilujirenjasflarr 6L_@!D6i|<5 Q(Lpi)Uffi ffirraiffr.

X: 60 65 40 55 62 66 70 72

Y: 100 120 110 130 125 140 142 150

Find the Karl Pearsons coefficient of correlation from the data given below :

X: 60 65 40 55 62 66 70 72

Y: 100 120 110 130 125 140 142 150

8. (tSi) u06uajir> LDirpuirileBueSlajifl.

('=b)    snwiiwirir QgsiriirajiflsoffuSletr Qp6iup uiLiafr6S)cn r(Lpg|.

(a)    Explain seasonal variation.    (5)

(b)    Write any three uses of time series.    (5)

SECTION B (3 x 20 = 60 marks)

Answer any THREE questions.

'4 -1 1 -3 11 11-1


9.    Atrem. A =

of the matrix A.


inverse


A =


Find the

"4 -1 1 -3 11 11-1


6119/E22

4


10.    <Lpffi6wn_ aSl6U[rrj(6r5ffi@    6uir<s (LpaDrrjuSleb . GrDirCpffimlO Cun\5<H0S)65T Qurngigjs.

6U0i_ld: 1990 1991 1992 1993 1994 1995 1996 1997 a_rbug)$: 80 78 85 88 90 86 82 92

Fit a straight line trend to the following data by the method of least squares.

Year: 1990 1991 1992 1993 1994 1995 1996 1997 Production: 80 78 85 88 90 86 82 92

11.    Lp<56wri_ 0SleLnrrEJfficrflaSl0i5gi atrird) iSiLnrewasflafr Ga;rnli_<5Q(5(ip0S)6!j<s arrsfffr.

cr)i_: 80-90 90-100 100-110 110-120 120-130* (BuirasTflafT 5    18 35 45 28

GTfottttl fcOftfl&SlDdi ;

6rDL_: 130-140 140-150 150-160 160-170 iBuiraoflan 15    8    5    3

6Vtoool WwDtSQDtS ;

From the data given below find the Karl Pearsons coefficient of skewness.

Weight: 80-90 90-100    100-110    110-120 120-130

No. of persons: 5 18    35    45 28

Weight: 130-140 140-150    150-160    160-170

No. of persons: 15 8    5    3

12.    Y -65T LDIuLj 50 CT65fl6b X -0H LDIuaOUffi ffilTSiffr LCjbpLD X -si ld<ul] 40 sretfla) Y -ott iDluewua srrem.

X: 25 27 34 33 30 36 32 35 37 38 Y: 43 46 48 55 45 44 52 53 58 56

Estimate X when Y = 50 and estimate Y when X = 40 for the following data.

X: 25 27 34 33 30 36 32 35 37 38 Y: 43 46 48 55 45 44 52 53 58 56

13.    aSl&JFfiiffiOTffigj

(rl) Qpcimp 6U0I_LD

(*%) 4 6U0i_jBLb ffp-ffifloouja; ffi6ror<51.

&iLLb: 1990 1991 1992 1993 1994 1995 1996 1997

2_ji)u$l: 50 60 55 62 70 72 75 65 Calculate

(a)    three yearly and

(b)    4 yearly moving averages from the following

data.

Year: 1990 1991 1992 1993 1994 1995 1996 1997 Production: 50 60 55 62 70 72 75 65

14. <5<56rori_ Sl6ui7ijffi(CT5<s0 axrcroiSliuiT iDrrjrpiLb LSloiflasr

@1u5llQl_6OTT<B0nSTT ffi6S5r<E<l($l.$.

2005    2006

Qurr06rr

q51D0 |6TT6L| 6)5165)60 )6rTO)

A

20

40

25

42

B

15

30

20

28

C

22

25

25

20

D

13

30

15

35

E

12

35

10

40

From the data given below compute Laspeyres and Fishers index numbers.

2005    2006

Commodity

Price Quantity Price Quantity

A

20

40

25

42

B

15

30

20

28

C

22

25

25

20

D

13

30

15

35

E

12

35

10

40

1

   (>;Si) (2,2) LDrbpib (4,8) 6T65TJD L|erT6iflerT 6uy51ujrrsff Qffebgjih Gi5iTG<5mli65i ffLDOTTurnlaoL er(Lgg],

(b) & CjsiKSamlin-Qjr ffirujaj 2/3 erwpLD y    QeuL -4 ersnfpiib !0uiS1st ffLDsTuirLl6ff)i_

er(Lpj.







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