MCO-03 · June 2016 · English
IGNOU MCO-03 June 2016 Previous Year Question Paper
RESEARCH METHODOLOGY AND STATISTICAL ANALYSIS
Structured previous year question paper for MCO-03, June 2016 session.
Max marks: 100 · Questions: 18
Verified: 8 Sept 2026
MASTER OF COMMERCE
Term-End Examination
Er)
June, 2016
MC0-03 : RESEARCH METHODOLOGY AND
STATISTICAL ANALYSIS
Time : 3 hours Maximum Marks : 100
Weightage : 70%
Note :
(i) Answer any five questions.
(ii) All questions carry equal marks.
Q1.What are the various methods of research ?
Q2.Explain them briefly with suitable examples.
Q3.Explain various reasons for opting the sampling method for data collection in business research.
Q4.Discuss the significance of scaling techniques in marketing research.
Q5.Explain the utility of percentages, Ratios, and Rates for data analysis with an example of each.
Q6.Discuss the concept and significance of various measures of central tendency in describing the data.
Q7.What do you understand by "Variation" ?
Q8.Discuss the significance of measuring variability for data analysis.
Q9.Explain any two approaches to determine probability with an example of each.
Q10.Discuss the types of hypotheses. Narrate the steps involved in testing of hypothesis. When do you pool rows and columns while applying chi-square test ? What are its limitations ?
Q11.(a) The following table gives the number of 15+5 screws declared fit and also unfit by three inspectors, A, B, C. Test the hypothesis that the proportion of screws declared unfit by the three experts are same. Particulars Inspector / No. of screws A B C Total Fit screws 50 47 56 153 unfit screws 5 14 8 27 Total 55 61 64 180 (Table value 41 21.df =3.84, tii 2 2.df =5.99)
(b) Narrate the procedure for fitting a binomial distribution. Why do we analyse a time series ? Explain the components of time series. 10+10 Discuss the characteristics of a good research report.
Q12.Write short notes on any four of the following :
(a) Inductive and Deductive Logic 5+5+5+5
(b) Sources of a Research Problem
(c) Skewness of Data
(d) Random variables
(e) Statistical Fallacies
(f) Pilot study and Pre - testing MCO-03 2 I TT. -4 -.311.-031 cu ul.sti t'11c1ch) t1 t ZEiriV Trgtff CWT
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(b) fli-ichTWF quirt crvc -44*tzr few Trici10+10 ticbc.44- if 7 2TT f4497 "Ar -AR I
Q18.(a) 'f -497 0T' (Variation)* ITT ciic94 t? FcRC•tiul * "FR7fgzilul * TITtrff * 10+10 li77 I
(b) I fgob of (probability) ffftliTuT 3T4NREITT311 3q1Ztul cq1tq.11 Wr77I
Q19.(a) 4 tcbt-911 (Hypotheses) * kI Tfd79 . *INR I qiicht-kiii *TRIV:rf fir-0 *1-hR I 10+10
(b) qlf TT WT riI rntl tilig 311 1TT 7nT If i.0 ,4,1,4,(ui T-4c f? T117:11 qzflt?
Q22.(.1 (gd A ich41 wit ITT #NR:r kuiruiii171-u-R :
(a) alliFfff MIT A 5+5+5+5
(b) 31-OtTiff TF1:11:41* tl)ci
(c) 3if f 141-ei (skewness)
(d) -q"( (random variables)
(e) tiirtseict;Iti
(f) 41*(1e. liNiuT
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