IGNOU MCO-22 June 2025 Previous Year Question Paper

Q1.Distinguish between the census and sampling methods of data collection and compare their merits and demerits. Why is sampling method unavoidable in certain situations ?

Q2.What are ogives ? Point out its role. Discuss the method of constructing ogives with the help of an example. 5+15 [ 2 ]

Q3.“Time series analysis is one of the most powerful methods in use, especially for short-term forecasting purposes.” Comment on the statement . Also explain the decomposition method.

Q4.What are the various key issues in decision theory ? Explain the decision tree approach.

Q5.If the mean of the given frequency distribution is 35, then find the missing frequency Y. Also, calculate the me dian and mode for the distribution : 20 Class Frequency 10—20 2 20—30 4 30—40 7 40—50 Y 50—60 1 [ 3 ]

Q6.What do you understand by ‘Correlation Coefficient’ ? Discuss the different types of association between variables.

Q7.(a) “Standard deviation is a measurement that is designed to find the disparity between the calculated mean .” Elucidate the statement. 10

(b) The data set below gives the prices (in rupees) of few items at a departmental store. Find the standard deviation :

Q9.Write short notes on any four of the following : 5×4=20

(a) Regression Analysis

(b) Spreadsheet

(c) Measurement of secular trends

(d) Method of least square

(e) Rank Correlation [ 4 ]

Q10.Distinguish between any four of the following : 5×4=20

(a) Linear Regression vs. Non-linear Regression

(b) Type I and Type II errors

(c) Probability Sampling vs. Non- probability Sampling

(d) Discreate probability distribution vs. Continuous probability distribution

(e) Mean vs. Mode [ 5 ] MCO–22 okf.kT; esa LukrdksÙkj mikf/k (,e- dkWe-) l=kar ijh{kk twu] 2025 ,e-lh-vks-&22 % izca/kdh; vuqiz;ksxksa ds fy, ek=kRed fo'ys"k.k le; % 3 ?k.Vs vf/kdre vad % 100 uksV % fdUgha ik¡p iz'uksa ds mÙkj nhft,A lHkh iz'uksa ds vad leku gSaA 1- MsVk laxzg dh tux.kuk vkSj uewukdj.k fof/k;ksa ds chp varj dhft, vkSj muds xq.kksa vkSj nks"kksa dh rqyuk dhft,A D;ksa laosnuh; fLFkfr;kas esa uewukdj.k fof/k vfuok;Z gS \ 12$8 [ 6 ] MCO–22 2- rksj.k D;k gSa \ budh Hkwfedk dks crkb;sA ,d mnkgj.k dh lgk;rk ls rksj.k fuekZ.k dh fof/k ij ppkZ dhft,A 5+15 3- ßle; Ük`a [kyk fo'ys"k.k mi;ksx esa vkus okyh lcls 'kfä'kkyh fof/k;ksa esa ls ,d gS] fo'ks"k :i ls vYidkfyd iwokZuqeku mís';ksa ds fy,AÞ bl dFku ij fVIi.kh dhft,A vi?kVu fof/k dks Hkh le>kb;sA 20 4- fu.kZ; fl¼kar esa fofHkUu çeq[k eqís D;k gSa \ fu.kZ; o`{k n`f"Vdks.k dh O;k[;k dhft,A 12$8 5- ;fn fn, x, vko`fÙk forj.k d k vkSlr 35 gS] rks yqIr vko`fÙk Y Kkr dhft,A blds vykok] forj.k ds fy, ekf/;dk vkSj cgqyd dh x.kuk dhft, % 20 oxZ vko`fÙk 10—20 2 20—30 4 30—40 7 40—50 Y 50—60 1 [ 7 ] MCO–22 6- ^lglEcU/k xq.kkad* ls vki D;k le>rs gSa \ fofHkUu izdkj ds pjksa ds chp tqM+ko ij ppkZ dhft,A 10$10 7-

(d) ßekud fopyu ,d eki gS tks xf.krh; vkSlrks a ds chp vUrj dks [kkstus ds fy, fMtkbu fd;k x;k gSAÞ bl dFku dks Li"V dhft,A 10 ([k) uhps fn, x, vk¡dM+s ,d fMikVZesaVy LVksj ij dqN oLrqvksa dh dhersa (#i;s esa) n'kkZrs gSaA budk ekud fopyu Kkr dhft, %

Q11.50, 60, 60, 75 8- fuEufyf[kr esa ls fdUgha pkj ij laf{kIr fVIif.k;k¡ fyf[k, % 5×4=20

(d) izfrxeu fo'ys"k.k ([k) LizsM'khV (x) /keZfujis{k izo`fÙk;ksa dk ekiu (?k) U;wure oxZ dh fof/k (³) jSad lglEcU/k [ 8 ] MCO–22 9- fuEufyf[kr esa ls fdUgha pkj esa vUrj crkb, % 5×4=20

(d) jSf[kd izrhixeu cuke xSj&jSf[kd izrhixeu ([k) Vkbi I vkSj Vkbi II =qfV;k¡ (x) laHkkO;rk izfrp;u cuke xSj&laHkkO;rk izfrp;u (?k) vlrr iz kf;drk forj.k cuke lrr izkf;drk forj.k (³) ek/; cuke cgqyd