MCO-03 · June 2025 · English

IGNOU MCO-03 June 2025 Previous Year Question Paper

RESEARCH METHODOLOGY AND STATISTICAL ANALYSIS

Structured previous year question paper for MCO-03, June 2025 session.

Max marks: 100 · Questions: 8

Verified: 8 Sept 2026

MASTER OF COMMERCE

(M. COM.)

Term-End Examination

June, 2025

MCO-03 : RESEARCH METHODOLOGY AND

STATISTICAL ANALYSIS

Time : 3 Hours Maximum Marks : 100

Weightate : 70%

Note : Attempt any five questions. All questions

carry equal marks.

Q1.Discuss any five methods of research with suitable example. 4+4+4+4+4 [ 2 ]

Q2.(a) Explain the main sources to identify business research problem. 10

(b) Explain the points to be kept in mind while selecting a research problem.

Q3.(a) Distinguish between probability and non-probability sampling with examples. 10

(b) Discuss any two methods of non-random sampling for marketing research. Identify one scenario where these methods can be applied.

Q4.(a) Explain the stages in preparation of a research report. 10

(b) Discuss the characteristics of a good research report. 10 [ 3 ]

Q5.(a) Discuss the various issues arising in connection with construct ion of index numbers. How are index numbers classified ? 6+4

(b) Explain the uses of index numbers for analysing research data.

Q6.(a) Discuss the importance of visual presentation of data. 10

(b) Describe the requisites of a good statistical table.

Q7.How do you select an appropriate scaling technique for a research study ? Explain the issues involved in it. 12+8 [ 4 ]

Q8.Write short notes on the following : 5+5+5+5

(a) Research Design

(b) Inductive and Deductive Logic

(c) Skewness

(d) Testing of Hypothesis [ 5 ] MCO–03 okf.kT; esa LukrdksÙkj mikf/k (,e- dkWe-) l=kar ijh{kk twu] 2025 ,e-lh-vks-&03 % vuqla/kku fof/k;k¡ ,oa lkaf[;dh; fo'ys"k.k le; % 3 ?k.Vs vf/kdre vad % 100 Hkkfjrk % 70% uksV % fdUgha ik¡p iz'uksa ds mÙkj nhft,A lHkh iz'uksa ds vad leku gSaA 1- vuqla/kku dh fdUgha ik¡p fof/k;ksa dh mi;qDr mnkgj.k lfgr O;k[;k dhft,A 4+4+4+4+4 [ 6 ] MCO–03 2-

(d) O;kolkf;d vuqla/kku leL;k dh igpku djus dss eq[; lzksrksa dh O;k[;k dhft,A 10 ([k) 'kks/k leL;k dk p;u djrs le; /;ku esa j[ks tkus okys fcUnqvksa dh O;k[;k dhft,A 10 3-

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(d) lwpdkadksa ds fuekZ.k ds lEcU/k esa mRiUu gksus okys fofHkUu eqík sa ij ppkZ dhft,A lwpdkad ksa dks dSls oxhZÏr fd;k tkrk gS \ 6$4 ([k) vuqla/kku vk¡dM+ksa ds fo'ys"k.k ds fy, lwpdkadksa ds mi;ksx dh O;k[;k dhft,A 10 6-

(d) vk¡dM+k dh n"; izLrqfr ds egRo ij ppkZ dhft,A ([k) ,d vPNh lkaf[;dh; rkfydk dh vko';drkvksa dk o.kZu dhft,A 10 7- vki fdlh vuqla/kku v/;;u ds fy, mi;qDr Lds¥yx rduhd dk p;u dSls djrs gSa \ blesa 'kkfey eqíksa dks Li"V dhft,A 12$8 [ 8 ] MCO–03 8- fuEufyf[kr ij laf{kIr fVIif.k;k¡ fyf[k, % 5+5+5+5

(d) vuqla/kku fMtkbu ([k) vkxeukRed vkSj fuxeukRed rdZ (x) fo"kerk (?k) ifjdYiuk dk ijh{k.k

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