no. of printed pages : mco-03 · 2016-04-01 · (a) draw a pie diagram for the following data 10...

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MCO-03 No. of Printed Pages : 8 MASTER OF COMMERCE Term-End Examination June, 2010 O MC0-03 : RESEARCH METHODOLOGY AND STATISTICAL ANALYSIS Time : 3 hours Maximum Marks : 100 Note : Answer any five questions. All questions carry equal marks. (a) What is the significance of hypothesis in 5+5 research ? What are Type I and Type II errors in Hypothesis Testing ? (b) Explain survey method of research and case 5+5 method of research. (a) A College consists of 8000 students. 40% of 10 them are girls. Again 70% of the students are from rural area. The entire student population is divided into 4 stratums, namely : Rural girls, Urban girls, Rural boys, and Urban boys. How should a sample size of 200 be allocated to these 4 stratums using proportional method ? (b) Briefly explain the method of drawing a 10 sample using systematic sampling method with the help of an example. What are essentials of a good sample ? MCO-03 1 P.T.O.

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Page 1: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

MCO-03No. of Printed Pages : 8

MASTER OF COMMERCE

Term-End Examination

June, 2010O

MC0-03 : RESEARCH METHODOLOGY ANDSTATISTICAL ANALYSIS

Time : 3 hours Maximum Marks : 100

Note : Answer any five questions. All questions carry equal

marks.

(a) What is the significance of hypothesis in 5+5research ? What are Type I and Type II

errors in Hypothesis Testing ?(b) Explain survey method of research and case 5+5

method of research.

(a) A College consists of 8000 students. 40% of 10them are girls. Again 70% of the studentsare from rural area. The entire studentpopulation is divided into 4 stratums,namely : Rural girls, Urban girls, Rural boys,

and Urban boys. How should a sample sizeof 200 be allocated to these 4 stratums usingproportional method ?

(b) Briefly explain the method of drawing a 10sample using systematic sampling methodwith the help of an example. What areessentials of a good sample ?

MCO-03

1 P.T.O.

Page 2: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

(a) Draw a PIE diagram for the following data 10illustrating daily sales of differentnewspapers in a small locality.

Newspaper Daily Sales

Times of India 150

Hindustan Times 110

Hindu 60

Nav Bharat Times 130

(b) The average (mean) marks scored by 10

30 students in a test was 55. Later it wasfound that one of the student's marks whohas scored 60 was not taken into accountwhile adding the marks. Find the revisedaverage (mean) marks.

(a) What are the requisites of a good statistical 5

table ?

(b) The monthly wages paid to workers ofFirm-A and Firm-B of the same industry areas follows :

Number of workersAverage monthlywages (Rs.)

Variance of thedistribution of wages

Firm A Firm B

500 400

12,000 15,000

196 196

MCO-03 2

Page 3: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

Which Firm has larger wage bill ? 3

Find coefficient of variance (for each 10firm) of wage distribution.

(iii)

Which Firm has greater variability of 2

wages ?

(a) With the help of relevant scatter diagrams 15explain positive correlation, negativecorrelation, and no correlation.

(b) What are the (ranges) numerical values that 5depict positive correlation, negativecorrelation and no correlations ?

(a) With suitable examples, explain price5+5+5indices, quantity indices, and value indices.

(b) What do you understand by the term 5decomposition of the time series ?

7.

(a) Distinguish between classification and 5tabulation.

(b) A survey on preference of votes for two 15candidates A and B for a public office areas follows :

Geographical Voting preferenceAreas A B Total

Rural 620 380 1000Urban 550 450 1000Total 1170 830 2000

MCO-03

3 P.T.O.

Page 4: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

Use the chi-square test to examine whetherthe nature of the geographical area is relatedto voting preference ?

(Given the table value of x2 as 3.84 at1 degree of freedom and 0.05 significancelevel)

8. Write short notes on any four of the following : 4x5=20

Random variable

Coefficient of determination

Weighted index numbers

Histogram

Difference between symmetry andskewness.

Non probability sampling methods.

9. (a) Explain different stages in preparation of a 10report.

(b) Why and how the statistical fallacies arise 10while interpreting the data ? Explain withrelevant examples.

MCO-03 4

Page 5: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

714.1t.341.-03

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5+5

10

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MCO -03

5 P.T.O.

Page 6: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

(a) F-1 4-iroRg cr .740 t- 3TrqR .97 1-) .4 10

rai*r 4A1 =11 th-T fq-er

31itu ATTI-T

w-iirautrq

TqR4 31ruF 2 ru g i 150

feWF Z7R=1 110

60

ZTTRi 130

(b) 1 LI'aUf 14 30 f.quif2tzff g R I SIR{ 37 1 1=I*f 10

( 1z17) 55 01 aid Hcif

T11,1R4 "F-111.2.11 -141*1 rob 60 0, t1:4Fq

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(a) oh"I 71Tcrft 3-11-471-T zE{T

5

?

(b) ki,on 4r en 7-4- A a2•11 -B ,o•

-11-74-er :

1:54 A Th-if B

500 400

a1:17 Trth:1-- ITT-0 (T. ) 12,000 15,000

-1777 fq71:11196 196

jci, (Variance)

MCO-03 6

Page 7: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

(i) f 3afTT ? 3th4 ci,1 -471t fa-Tcur 4-1146 10

TECrTfT (coefficient of variance) WUw-F-A7

f-*74 4,4 TRIt .w[ r JI 3Tf ? 2

(a) " =tqZ 7-*-tuf 3-11- 4 (scatter diagrams) t1 I c1f 15

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(b) ti(sq lc-H eb -l:r4 (ranges) el-elf t171-(-1:1 5

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HI f tj ch Ict) -4- 1 (value) tir4 oh lob I1 I teq

5+5+5

(b) c 31.7fr faEre7-{ 3117 sEi-r TrIrej ? 5

7. (a) 01 4 lf 11( 14 U211 tlltu1mtu r 31'-d7 q-d77 I 5

(b) 344-11qcli4 A 7 2.TT B .d)ti 15

-srpifTrwm, Tr&uuT 3T-TR :

al-dl 72Tf4-*---d-r

A B

1711#7 620 380 1000

71-6t 550 450 1000

1170 830 2000

MCO-03

7 P.T.O.

Page 8: No. of Printed Pages : MCO-03 · 2016-04-01 · (a) Draw a PIE diagram for the following data 10 illustrating daily sales of different newspapers in a small locality. Newspaper Daily

71Icr ate i fa qzrr cr)

a,1 312.1- A To 444 t,

quT (chi-square test) 3971-ITT - 1-r-r-A.7 I

(1 rs;i1 ct fa-riqdr aErr 0.05 ohl -cik '17

ARTt x2 r-14F 3.84 fq-TIT + NI t I )

8. rMftad-14-4 "--"0"viH Lik TART e..-1 u l q r fcl : 4x5=20

q i5 (Random variable)

ffftli{17 1113Ti (Coefficient of determination)

WTftd chi*

Ufa aiRM Fa 7t (Histogram)

.H 4-1(=o4 2.1-f 11511 44 atd7

3a 311rm-f (Non-probability sampling)

a

9. (a) wr4 afim a1 oq Rsir .wIrr—A7 10

(b) TITfrA f9-4-q7 TI1:17T 14. fafr 10

on vir—d-zrr d04 7 1. ? AF-0

owsq f -1.r"-A7 I

MCO-03 8