MMPC-005 · December 2025 · English
IGNOU MMPC-005 December 2025 Previous Year Question Paper
QUANTITATIVE ANALYSIS FOR MANAGERIAL APPLICATIONS
Structured previous year question paper for MMPC-005, December 2025 session.
Max marks: 100 · Questions: 8 · Sections: 2
Verified: 11 Sept 2026
MANAGEMENT PROGRAMME (MP) /
MASTER OF BUSINESS
ADMINISTRATION IN HEALTH
CARE AND HOSPITAL
MANAGEMENT (MBAHCHM) /
MASTER OF BUSINESS
ADMINISTRATION (LOGISTICS &
SUPPLY CHAIN MANAGEMENT)
(MBALS) / MASTER OF BUSINESS
ADMINISTRATION
(CONSTRUCTION MANAGEMENT)
(MBACM)
Term-End Examination
December, 2025
MMPC-005 : QUANTITATIVE ANALYSIS FOR
MANAGERIAL APPLICATIONS
Time : 3 Hours Maximum Marks : 100
[ 2 ] MMPC–005
Note :
(i) Section A has six questions, each
carrying 15 marks. Attempt any four
questions.
(ii) Section B is compulsory and carries
40 marks.
(iii) Use of calculator is permissible.
Section—A
Q1.What do you understand by time series ?
Q2.What are the four major components in a time series analysis ? Is the relationship between these four components multiplicative or additive or could be any of them ? Give the equations of the relationship.
Q3.What is a frequency distribution ? What are the general guideli nes of forming a frequency distribution with particular reference to the choice of class intervals and number of classes ? [ 3 ]
Q4.Seven methods of imparting business education were ranked by MBA students of two universities as follows : Method of Teaching Rank by Students of Univ. A Rank by Students of Univ. B I 2 1 II 1 3 III 5 2 IV 3 4 V 4 7 VI 7 5 VII 6 6 Calculate Rank Correlation Coefficient and interpret the results. [ 4 ]
Q6.The customer accounts of a certain departmental store have an average balance of ` 120 and a standard deviation of ` 40. [ 5 ] MMPC–005 Assuming that the account balances are normally distributed, what proportion of the accounts is over ` 150 ? (Given the area between mean and required value for calculated statistic is 0.2734.)
Q7.Write short notes on any three of the following :
(a) Precautions in the use of secondary data
(b) Relative Skewness
(c) Cluster Sampling
(d) Mode
(e) Two-tailed tests
Section—B
Q8.Why is forecasting so important in business ? Identify applications of forecasting for the following :
(a) Long-term decisions
(b) Medium-term decisions
(c) Short-term decisions [ 6 ]
Q9.A marketing manager wants to know if display at point of purchase helps in increasing the sales of his product. Unless there is strong evidence to the contrary, he is likely to believe that such displays do not affect sales. He picks up 70 retail shops where there is no display and finds that the weekly sale in these shops has a mean of ` 6,000 and S. D. of ` 1,004. Similarly, he picks up a second sample of 36 retail shops with display at point of purchase and finds that the weekly sale in these shops has mean of ` 6,500 and S. D. of ` 1,200. What should he conclude at a significance level of 5% ? (Given the tabulated value of test statistic is 1.645). [ 7 ] MMPC–005 izca/ku dk;ZØe@O;olk; izca/ku esa LukrdksÙkj (gsYFk ds;j vkSj vLirky izca/ku)@ O;olk; izca/ku esa LukrdksÙkj (ykWftfLVDl vkSj lIykbZ psu eSustesaV)@ O;olk; izca/ku esa LukrdksÙkj (dLaVªD'ku eSustesaV) l=kar ijh{kk fnlEcj] 2025 ,e-,e-ih-lh-&05 % izca/kdh; vuqiz;ksxksa ds fy, ek=kRed fo'ys"k.k le; % 3 ?k.Vs vf/kdre vad % 100 Hkkfjrk % 70% [ 8 ] MMPC–005 uksV %
(i) [k.M&v esa N% iz'u gSaA izR;sd iz'u 15 vad dk gSA fdUgha pkj iz'uksa ds mÙkj nhft,A
(ii) [k.M&c vfuok;Z gS vkSj 40 vad dk gSA
(iii) dSydqysVj dk iz;ksx dj ldrs gSaA [kaMµv 1- Vkbe lhjht ls vki D;k le>rs gSa \ Vkbe lhjht fo'ys"k.k esa pkj çeq[k ?kVd dkSu &ls gSa\ D;k bu pkj ?kVdksa ds chp laca/k xq.kkRed ;k ;ksxkRed gS ;k buesa ls dksbZ Hkh gks ldrk gS\ laca/k ds lehdj.k nhft,A 2- ckjEckjrk caVu D;k gS\ oxZ varjky vkSj oxks± dh la[;k ds pquko ds fo'ks"k lanHkZ esa ckjEckjrk caVu cukus ds lkekU; fn'kkfunsZ'k D;k gSa\ 3- nks fo'ofo|ky;ksa ds MBA Nk=ksa }kjk O;kolkf;d f'k{kk çnku djus ds lkr rjhdksa dks bl çdkj jSad fd;k x;k % f'k{k.k fof/k fo'ofo|ky;µv ds Nk=ksa }kjk jSad fo'ofo|ky;µc ds Nk=ksa }kjk jSad I 2 1 II 1 3 [ 9 ] MMPC–005 III 5 2 IV 3 4 V 4 7 VI 7 5 VII 6 6 jSad lglaca/k xq.kkad dh x.kuk dhft, vkSj ifj.kkeksa dh O;k[;k dhft,A 4- fuEufyf[kr caVu ds fy, ekf/;dk vkSj rhljk DokVkZby Kkr dhft, % oxZ varjky ckjEckjrk 50—60 1 60—70 4 70—80 5 80—90 3 90—100 5 100—110 6 110—120 4 120—130 6 130—140 4 140—150 4 150—160 2 [ 10 ] MMPC–005 5- fdlh fMikVZesaVy LVksj ds dLVej vdkmaV dk vkSlr cSysal ` 120 vkSj ekud fopyu ` 40 gSA ;g ekurs gq, fd vdkmaV cSysal izlkekU; :i ls forfjr gSa] fdrus vdkmaV ` 150 ls T;knk gSa\ (fn;k x;k gS fd ek/; vkSj dSydqysVsM LVSfVfLVd ds fy, vko';d oSY;w ds chp dk ,fj;k 0-2734 gSA) 6- fuEufyf[kr esa ls fdUgha rhu ij laf{kIr uksV~l fyf[k, %
(v) f}rh;d MsVk ds mi;ksx esa lko/kkfu;k¡
(c) fjysfVo LD;wusl (l) DyLVj lSaifyax (n) cgqyd (;) f}&iqPNh VsLV [kaMµc 7- fctusl esa QksjdkfLVax bruh egRoiw.kZ D;ksa gS \ fuEufyf[kr ds fy, QksjdkfLVax ds ,Iyhds'ku crkb, %
(v) nh?kZdkyhu fu.kZ;
(c) e/;dkyhu fu.kZ; (l) vYidkyhu fu.kZ; [ 11 ] MMPC–005 8- ,d ekdsZfVax eSustj tkuuk pkgrk gS fd D;k i kWbaV vkWQ ijpst ij fMLIys mlds çksMDV dh fcØh c kus esa enn djrk gSA tc rd blds foijhr dksbZ etcwr lcwr u gks] og ;g ekuus dh laHkkouk j[krk gS fd ,sls fMLIys fcØh dks çHkkfor ugha djrs gSaA o g 70 fjVsy nqdkusa pqurk gS tgk¡ dksbZ fMLIys ugha gS vkSj ikrk gS fd bu nqdkuksa esa lkIrkfgd fcØh dk vkSlr ` 6]000 vkSj S.D. ` 1]004 gSA blh rjg] og i kWbaV vkWQ ijpst ij fMLIys okyh 36 fjVsy nqdkuksa dk nwljk lSaiy pqurk gS vkSj ikrk gS fd bu nqdkuksa esa lkIrkfgd fcØh dk vkSlr ` 6]500 vkSj S.D. ` 1]200 gSA mls 5% ds lkFkZdrk Lrj ij D;k fu"d"kZ fudkyuk pkfg,\ (fn;k x;k gS fd VsLV LVSfVfLVd dk lkj.kh eku 1-645 gS)A
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