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Comparative Analysis of Automobile Sector and Telecom Sector
using ANOVA
Group:
NAME Roll No E-Mail ID
Ankit Mittal 10FN-015 [email protected]
Anant Shree Goyal 10HR-005 [email protected]
Ankit Jain 10DM-016 [email protected]
Abhinav Sharma 10IT-001 [email protected]
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1. Summary
Topic
Comparative analysis of Automobile sector and Telecom sector using ANOVA.
Objective
First, our objective is to determine statistical significance of the data for the individual
companies and the various statistical parameters for the collected data.
We want to compare the difference in population means among the different companies of
Automobile and Telecom sector using one way ANOVA on the basis of closing price. And then
compare the performance of Automobile sector against Telecom sector using one way ANOVA
on the basis of closing price for past few years.
Methodology
We have used MS-Excel for ANOVA (Analysis of Variance). For ANOVA, we have considered
data from 31stDec 2008 to 16th Aug 2010.
Result
There is a significant Difference in the Population Mean of Automobile and Telecom Sector on
the basis of Closing Stock Prices (31-12-2008 to 18-08-2010) as obtained through ANOVA.
2. Introduction
Our objective is to analyze and do comparative study of stock market data of Automobile sector
and Telecom sector. For this task, we have identified 5 companies from both the sectors.
For Automobile Sector we are considering
yBajaj,
yHero Honda,
yHonda Siel,
yMaruti Suzuki
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yTata Motors.
For Telecom Sector we are taking data of
y
Airtel,yIdea Cellular,
yMTNL,
yReliance communication
yTata Telecommunications.
The tools used for the analysis is
yMicorsoft Excel 2007
The technique used for analysis is ANOVA, for which we are considering data from 31stDec2008 till 16
thAug 2010.
Telecom Sector
Studies have shown that in India, the telecom sector has been a major enabler of economic
growth. An Indian Council forResearch on International Economic Relations (ICRIER) studyhas shown that states with higher mobile penetration are forecast to grow faster. At present, the
Indian telecom market is the fastest growing in the world with the lowest tariffs and currently
market leaders in the Indian telecom sector are launching plans to compete with new operators.The year 2009 saw telecom players shift from per minute billing to per second billing.
Historically, the telecom network in India was owned and managed by the Government
considering it to be a natural monopoly and strategic service, best under state's control. However,
in 1990's, examples of telecom revolution in many other countries, which resulted in betterquality of service and lower tariffs, led Indian policy makers to initiate a change process finally
resulting in opening up of telecom services sector for the private sector.
Policy reforms can be broadly classified in three distinct phases
y "The Decade of1980's saw private sector being allowed in telecommunicationsequipment manufacturing. Mahanagar Telephone Nigam Limited (MTNL) and VideshSanchar Nigam Limited (VSNL) were formed and a Telecom Commission was set up to
give focus to telecommunications policy formation.y "In 1990s, telecommunications sector also benefited from the general opening up of the
economy. NTP 1994 was the first attempt to give a comprehensive roadmap for theIndian telecommunications sector.
o Availability of telephones on demand (targeted by 1997)
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o Universal service covering all villages and one PCO per500 persons in urban
areas at the earliest (targeted to be achieved by 1997)o Telecom services at affordable and reasonable prices
o World standard quality of servicesy
"
NTP 1999 brought in the third generations of reforms in the Indian telecommunicationssector.1
Automobile Sector
The automotive sector is one of the prime drivers ofIndian economy. Economic liberalization
policies adopted by government ofIndia have primarily propelled India into the big league, with
many global automotive players seeking to establish their operations in India. In fact in the last
five years, India has turned into a big trade mart for the automobile industry, registering a growthrate of15-27 percent.
Following India's growing openness, the arrival of new and existing models, easy availability offinance at relatively low rate of interest and price discounts offered by the dealers and
manufacturers all have stirred the demand for vehicles and a strong growth of theIndian automobile industry.
The data obtained from ministry of commerce and industry, shows high growth obtained since
2001- 02 in automobile production continuing in the first three quarters of the 2004-05. Annualgrowth was 16.0 per cent in April-December, 2004; the growth rate in 2003-04 was 15.1 per
cent. The automobile industry grew at a compound annual growth rate (CAGR) of 22 per centbetween 1992 and 1997.
With investment exceeding Rs. 50,000 crore, the turnover of the automobile industry exceededRs. 59,518 crore in 2002-03. Including turnover of the auto-component sector,
the automotive industry's turnover, which was above Rs. 84,000 crore in 2002-03, is estimated tohave exceeded Rs.1,00,000 crore ( USD 22. 74 billion) in 2003-04.
2
We have used MS-Excel and SPSS tool for ANOVA (Analysis of Variance). For ANOVA, we
have considered data from 31stDec 2008 to 16th Aug 2010.
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3. Literature Review
Indias Long March to a Global Auto Major:
A Study of Government Influence on Industry Development in the Post-Independence Era
By Rajnish Tiwari,Mahipat Ranawat & Andreas Lange
Institute of Technology & InnovationManagement, TUHH
Hamburg,March 2010
www.global-innovation.net
Objectives ofthe Study:
1.To IDENTIFY GOVERNMENT POLICIES thathaveinfluencedthedevelopment of Indiasautomotive
industry
2.To UNDERSTAND THE INFLUENCE ofgovernmentpolicies onthedevelopment of Indiasautomotive
industry
3.To EXPLORE ROLEplayedbythegovernmentinthedevelopment of Indiasautomotiveindustry
Summary of Govt. Influence on Industry Development
y Governmentpolicieshave significantlyinfluencedthedevelopment of Indiasautomotive
industry
y Some oftheimportantpolicieshavebeenthe onesrelatedto theprotection,indigenisation,
modernizationand liberalization oftheindustry
y Therole of Indiangovernmenttransitioned fromregulatoryto facilitative oneastheindustry
progressedthroughsuccessivestages ofcompetitivedevelopment. Thiswasinalignmentto the
theoretical framework,butwithsomedeviations
y However,thetransitionsweremainlybroughtaboutbychanceevents like Oil Crisis, Gulf War,
etc. Thegovernmenthasto beat leastcredited forimplementation
y Governmentpoliciesshall continueto playanimportantroleinthe futuredevelopment ofthe
industrywiththeireffect ondemandand factorconditions
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Outlook on Government Policies
y Therole ofgovernmentwill continueto bethat ofa facilitator facilitate firmsto innovateand
upgradebymeans ofindustry-specificprogrammes
y The futuregovernmentpolicieswill affectthedevelopment of Indiasautomotiveindustrylargelythroughtheireffect ondemandandadvanced factorconditions
y Accordinglythepolicieswill focus ontaxincidences,exports,industry R&D,safety &
environmental standards,infrastructure,specialisedmanpower,etc.
y Indianautomotiveindustrywill thriveto attainits owncompetitiveposition (probablysmall
cars)intheglobal auto industrymovingaway frommerecostadvantages
COMPETITIVENESSOFFIRMS IN INDIAN AUTOMOBILE INDUSTRY
February 2009
BY L. G.Burange & Shruti Yamini
University OfMumbai
Department ofEconomics
www.mu.ac.in/arts/social_science/eco/pdfs/depart/dwp3.pdf
The efforts have been made to build up an index that reflects thecompetitiveness of firmsinthe
Indianautomobileindustry. Intheprocessanattempthas also been made to study the current
status and evolution ofthe industry. Acomposite competitiveness index is defined as the
mathematical combination ofindividual indicators that represent different dimensions ofthe
concept whosedescriptionisthe objective oftheanalysis.
The finding ofthe study reflects the relative competitive position ofthesample firms and also
the overall picture ofthe industry. Out of fourteen sample firms, performance ofseven firms
was above the industry average.Maruti Udyog Limitedscoredhighestinthegroupgettingtopmost
rankingmainlybecause ofnon-financial indicatorssuchasproductiveperformance,customer
satisfactionetc. Thisis followed by Bajaj Auto, which has scored second rank due to better
financial performanceinterms ofstockmarketperformance, financial ratiosand foreigntrade. Looking
atthe financial andnon-financial indexseparately,itisseenthattherankingsdifferslightlyassome
firmsperformbetterin onethanthe other.
It is also observed that out of first seven firms, only two are from three-wheeler segment. This
shows that competition is more intense in the passenger vehicle and two-wheeler segments. The
commercial vehicle segment seems to bedominatedby TataMotors.
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Itcanbehopedthatthe overall index,sub-indicatorindexand financial/ non-financial indexproveto be
helpful in framingcompetitivepoliciesbythe firms. Itwill also beuseful to consumersto judgethe
competitiveperformance ofthese firms fromtheproduct qualityandinvestmentpoint of view.
THE INDIAN AUTOMOTIVE MARKET
http://www.trade.gov/static/India%20White%20Paper.pdf
December 2009
Giventhe largepopulationandgrowingmiddleclass, Indiahasthepotential to developinto asignificant
market forautomobilemanufacturers. Witha large,Englishspeaking,relatively low-cost laborpool,
Indiacouldeventuallyserveasamajorregional exporthubthroughoutAsia,Africa,andEurope.
Mahindra & Mahindra,in fact,isalreadydevelopingplansto beginsellingautomobilesinthe United
States. Itplansto shipcompletelyknocked-down (CKD)kitsto the United Statesto beassembledin
Ohio. These CKD kitswouldbeexported from Indiaandshippedto the United States for final assembly.
TheseplanswouldmakeMahindra & Mahindrathe first Indiancarmanufacturerto setupa
manufacturing facilityinthe United States. However,thereareanumber of factorsthatmustbe
overcomein order for India,alongwithautomobilemanufacturers,to fullyrealizethepotential inthe
Indianmarket. Inparticular, logistical transportationinfrastructurecapabilitieswill needto beimproved
to meetdomesticandexportneeds. Basedsimply ontheamount ofinvestmentsby GMand Fordalone,
itisclearthat foreign vehiclemanufacturers view Indiaasacrucial playerinthe future ofthe
automotiveindustryasaregional exporthub,andasasupplier ofautomobilesandautomotiveparts
globally.
The Chinese and Indian Automobile Industry in Perspective : Technology Appropriation, Catching-up
and Development
By Xavier Richet, Jean Monnet Chair, Universit Sorbonne nouvelle, Paris
Joel Ruet, CNRS-LATTS & Visiting Fellow Asia Research Centre, LSE
http://gdrdeveloppementtransition.org/colloque_2008/RICHET-RUET.pdf
February 2010
Thecomparison oftheautomobileindustryin Chinaand Indiaallowsshedding light ontheeconomic
processes ofemergenceat large. Thereisastarkcontrastinthecapacities ofautonomisationand
endogenisation ofthesector in the two countries. Thiscontrastservesasananalyser ofthe
relationshipsbetweenthemodes ofsector openingandthepaths oftechnological catching-upthatisat
thecore ofthephenomenon ofemergence.
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Today Chinaand Indiacarindustryareatthecross-road. Theyhavetransformedthecarindustryboth
withsimilaranddifferenttoolsandare facingtheworldcompetition. Constrainedbystateregulation,
theyhaveexperienced openingstrategies,early 80s in China,early 90sin India. China has supported
the development ofthis sector through bureaucraticmeans andmarketmechanisms: bureaucratic
as the State and Province has kept a direct control over this industry, Provinces taking advantage
ofde facto decentralisation to develop locally. As the result, the sector, up to recently was weak
and fragmented with theexistence ofmorethan 120 carmaker overthecountry. The national
system ofinnovation in China is weaker than in India. It is throughsuccessivenational industrial
policyprogrammes that thegovernmentassupported theenhancing ofthissector,promoting
industrial collaborationswith foreigncarmakers.
There isadifference in theaimsamongdomesticand foreignpartners. Foreign OEMs are looking for
profitability, market shares on an expanding market with a stronggrowthpotential. Few ofthem
are lookingat takingadvantage of lowcosts to exporttoward Western markets. There is a
different approach concerning suppliers, both foreign and domesticwhich are looking only looking at the domesticmarket but arewillingto takeadvantage ofthe lowcostadvantage for lowtechnology
products. Foreignmakers face,atthisstage oftheirdevelopment,the followingproblems:
- property rights issues linked to imitation and fakes (see the Geely-GM row, other Westerncar
makerhave faced the sameproblem), trust in local arbitrationcourtsandwillingnessto keepthe
coretechnology.
-pricewar:competitivewar on lowsegments ofproduction onwhichmarginsare lowcoming fromthe
newcompetitiveprivatesector.
- state regulation and state macro-policies in order to curb disequilibrium from anheatingeconomy,to control the financial andbankingsystem.
-thedifficultyin organizingthesub-contracting sector,up-gradingit.
Managing Socio-technical Change in Indian Automobile Industry A Survey
*Dr. Rajiv Kumar Garg
Proceedings of the World Congress on Engineering, London, U.K. 2009
http://www.iaeng.org/publication/WCE2009/WCE2009_pp1147-1152.pdf
Management ofchangehasassumedagreatdeal ofimportancein Indianautomobileindustry.
Managingchangeisposingabigchallengeto Indian firmsinthewake ofglobalizationand liberalization.
Successful changedemandsthatall majorareas ofan organizationarekeptin focusconcurrently. These
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areasaretechnology,structure,systems,peopleandculture. Itisseenthatall theseareasare
interwovenandcannotbeemphasizeduponinisolation. Thispaperpresentsthecurrentstatus ofsocio-
technical changein Indianautomobileindustry. Thestudyhasbeenmadethroughsurveyin Indian
automobilecompaniesusingaspeciallydesigned questionnaire.
Conclusion
Fromthesurvey,itisclearthat Indianautomobilehasmadeeffortsto managesocio-technical change.
Changeshavebeenmadein variousareas ofchangemanagement liketechnology,systems,structure,
peopleandculture.Asaresult, variousnotablechangeshavebeenmadein various organizations.But
still thereiswidescope for furtherchange. Theindustryhasto strivehardto beinnovative,
technologicallysuperioraswell asworking-cultureconscious. Thecontinuouspacewithworld-class
technology,supportivesystems,restructuringandcultural modificationswill helpthe organizationsto
changesuccessfully.
An Overview of the Indian Telecommunications Industry
Gaurav Dixit -Manager www.careratings.com
May 28, 2010
http://www.careratings.com/current/3/7683.pdf
Introduction
Drivenby variouspolicy initiatives, the Indian telecomsectorwitnessed a complete transformation
in the last decade. The Indian telecom industryhasproved to be the fastestgrowingin theworld
and is currently the second largest globally bysubscriberbase. The success ofthe sector can be
attributed largely to the growth in the wireless segment,with the operators reporting additions
ofapproximately 10-15 millionsubscribers every month. The telecom markets in the Asia Pacific
region are expected to experience the highest growthrate (nearly 16 percent)inthenext fiveyears
ledby Indiaand China. The total number ofsubscribers in India increased to 621.28 million in
March 2010 from 600.98 million in February 2010 thereby registering a growth of 3.38%. With this
the overall teledensity in India reached 52.74%. Over the period 1998-2009 thenumber oftelecom
subscribersin Indiagrewata CAGR of 33.44%.
Conclusion
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Theyear 2009 wasa landmark one forthe Indiantelecommunicationsindustrymarkedbyatremendous
growthinsubscriberbasewhich leadto Indiabeatingthe US to becomethesecond largesttelecom
marketglobally. However,to sustainthegrowthmomentuminthecomingyearsandto addnew
dimensionsto it,anumber ofreformsandinitiativesmustbe undertaken. The Government needs to
revise its M&A policies to facilitateconsolidationinthe overcrowdedtelecommarketto ensurethat
itcontinuesto grow,notjustinsubscriberbasebutinterms ofrevenuesaswell. Policiesalso needto be
developed forsharing ofspectrumso asto providereliefto the operatorswhosecapital structuresare
already strained owing to thedebt raised for 3G auctions.Although voice serviceshavebeenthekey
contributorsto thegrowth ofthetelecomsector,withthe oncoming 3G roll outthesectorispoised for
ashiftin focus from voiceto valueaddedservicesinabigway. With the saturation in theurban
markets, thenextarea of focus for the operators is therural and semi urban areas that are still
largely untapped and provide a tremendouspotential for growth. These new avenues for growth
combined with the proactivemeasuresinitiatedbythe Governmentare likelyto heraldthenextphase
ofdevelopment forthe Indiantelecommunicationssector.
Trends Of Indian Telecom Industry
Mercurius Advisory Services Private Limited (MAS) and AJSH & Co, Chartered Accountants (AJSH)
June 2010
http://gaj-india.com/usefulupdates/indiantelecom%20june%202010.pdf
Important Facts & Conclusions
1. Thenumber oftelephonesubscribers in India increased from 509.03 Millionattheend of Sep-09 to
562.16 Millionatthe end of Dec-09, registering a growth of 10.4%. The overall Teledensity in
India has reached 47.88 as on 31st December 2009.
2. Subscription in UrbanAreas grew from 357.22 Million at theend of Sep-09 to 387.63 Million at
the end of Dec-09,takingtheurban Teledensity from 102.79 to 110.96. Rural subscriptionincreased
from 151.81 Millionto 174.53 Million leadingto increasein Rural Teledensity from 18.46 to 21.16,duringthisperiod.
3. About 57% ofthe total netadditionshavebeen inurbanareasas compared to 65% in the
previous quarter. This in otherwords,impliesrapidincreaseinrural subscriptionsduringthe quarter.
However,thisuptakeinrural subscriptionisinwirelesssegment. Theshare ofrural subscribershas
increasedto 31%intotal subscription from 29.8%in Sep-09.
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4. With 53.37 Millionnetadditionsduringthe Quarter, Total Wireless (GSM + CDMA)subscriberbase
increasedto 525.09 Millionattheend of Dec-09,andwireless Tele-densityreached 44.72.
5. Wire linesubscriberbasedeclined from 37.31 millionin Sep-09 to 37.06 Millionattheend of Dec-09,
bringingdownthewire lineteledensityto 3.16 from 3.19 in Sep-09
6. Internetsubscribersincreased from 14.63 millionto 15.24 millionattheend of December 2009
registeringa quarterlygrowthrate of 4.21%. Top 10 ISPstogetherhold 95.93% ofthetotal Internet
subscriberbase.
7. Share ofBroadband subscription in total Internet subscription increased from 49.3% in Sep-09
to 51.3% in Dec-09. 86.54% oftheBroadbandsubscribersareusing Digital Subscriber Line (DSL)
technology.
8. Average Revenueper User (ARPU) for GSM-Full Mobility servicedeclinedby 12.4%, from Rs. 164 in
QE Sep-09 to Rs. 144 in QE Dec-09.
9. MOU persubscriber for GSM Full mobilityservicedeclinedby 2.82%, from 423 in QE Sep-09 to 411
in QE Dec-09. The outgoingMOUsdeclinedby 2.67%andincomingby 2.96%.
10. ARPU for CDMA Full mobilityservicedeclinedby 7%, from Rs. 89 in QE Sep-09 to Rs. 82 in QE Dec-
09.
11. MOU per subscriber for CDMA-full mobility service increasedby 3.2% from 308 (QE Sep-09) to
318 (QE Dec-09). The OutgoingMOUsincreasedby 4.04%and IncomingMOUsby 2.5%.
12. Gross Revenue (GR)andAdjusted Gross Revenue (AGR) of Telecom Sector for the QE Dec-09 has
been Rs 39,756.64 Croreand Rs.29, 125.67 Crorerespectively. Therehasbeenan increase of 2.32%and
0.04%,ascomparedto previous quarter,in GR & AGR respectively.
13. Average license feeaspercentage ofAGR is 8.34%in Dec-09 asagainst 8.41%inprevious quarter.
14. The performance ofthe Basic Telephone Service (Wire line) Service Providers is at same
level as compared to theprevious quarterinrespect oftheparameter of Call completionrate (in
local network)and Time Taken for Refund ofdepositsafterclosures.
15. The performance ofthe CellularMobile Telephone Service providers is at same level as
compared to the previous quarter in respect ofthe parameter of TCH Congestion,Metering and
billing credibility - post paid and Period ofapplyingcredit/ waiver/ adjustmentto customers
account fromthedate ofresolution ofcomplaints.
16. Total Number ofchannelsregisteredwithMinistry of I&Bincreased from 472 in Sep-09 to 485 in
Dec-09. Thereare 142 pay TV channelsinexistenceasreportedby 23 broadcasters/theirdistributorsat
the Quarterending Dec-09.
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17. Maximum number of TVchannels being carried by any ofthe reportedMSOs is 253 whereas
in the conventional analogue form,maximumnumber ofchannelsbeingcarriedbythereportedMSOs
is 100 channels.
18. Thenumber ofprivate FM Radio stationsin operationremainedas 248 attheend of Dec-09.
19. Besidesthe free DTH service of Doordarshan,thereare 6 private DTH licensees.All the 6 DTH
licenseesare offeringpay DTH servicesto thecustomersas on 31.12.2009 andtheirreportedsubscriber
baseis 19.1 million.
20. Number of Set TopBoxes (STBs)installedin CAS notifiedareas of Delhi,Mumbai, Kolkataand
Chennaiincreased from 7, 34,016 in Sep-09 to 7, 45,953 in Dec-09.
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4. Research Gap
5. Objectives
To determine if the data for individual companies is statistically significant.
To determine the various statistical parameters for the collected data.
To compare the difference in population means among the different companies of
Automobile sector using one way ANOVA on the basis of closing price.
To compare the difference in population means among the different companies of
Telecom sector using one way ANOVA on the basis of closing price.To compare the performance of Automobile sector with Telecom sector using one way
ANOVA on the basis of closing price for past few years.
6. Hypothesis
A)For comparing Population Mean among 5 Companies in Automobile Sector using ANOVA
test:
Ho: 1= 2= 3= 4= 5. The null hypothesis will be that all population mean of5 companiesof Automobile sector are equal.
H1:The alternative hypothesis is that at least one mean is different.
1, 2, 3, 4, 5Population Mean of5 Companies of Automobile Sector.
B)For comparing Population Mean among 5 Companies in Telecom Sector using ANOVA test:
Ho: 1= 2= 3= 4= 5. The null hypothesis will be that all population mean of Telecom
sector companies are equal.
H1:The alternative hypothesis is that at least one mean is different.
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1, 2, 3, 4, 5Population Mean of5 Companies of Telecom Sector
C)For comparing Population Mean among Automobile & Telecom Sector using ANOVA test:
Ho: 1= 2. The null hypothesis will be that population of Automobile & Telecom Sector is
equal.
H1:1 2. The alternative hypothesis is that at least one mean is different.
1, 2 Population Mean of Automobile & Telecom Sector respectively.
7. Methodology
ANOVA: An Introduction
In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their
associated procedures, in which the observed variance is partitioned into components due to
different sources of variation. In its simplest form ANOVA provides a statistical test of whether
or not the means of several groups are all equal, and therefore generalizes Student's two-
samplet-test to more than two groups. ANOVAs are helpful because they possess a certainadvantage over a two-sample t-test. Doing multiple two-sample t-tests would result in a largely
increased chance of committing a type I error. For this reason, ANOVAs are useful in comparing
three or more means.
Tools Used
yMicrosoft Excel 2007
yStatistical Package for Social Sciences (SPSS) v.17.0
Assumption
1.The populations follow normal distribution.
2.The populations have equal standard deviations ().
3.The samples must be independent.
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4.We have ignored all factors other than Closing Price while comparing the performance of
the two sectors.
A.Study of Statistical Data and their properties(Automobile):
Table A.1 Descriptive Analysis ofHero Honda
Column1
Mean 762.2028707
StandardError 10.08293663
Median 697.6
Mode 750
Standard Deviation 451.2606994
Sample Variance 203636.2188
Kurtosis 1.081689574
Skewness 1.304590037
Range 1905.8
Minimum 183.2
Maximum 2089
Sum 1526692.35
Count 2003
Largest(1) 2089
Smallest(1) 183.2
Confidence Level(95.0%) 19.77414702
Table A.2 Descriptive Analysis ofHonda Siel
Column1
Mean 180.7870504
StandardError 1.763607757
Median 158
Mode 120
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Standard Deviation 77.79889317
Sample Variance 6052.667778
Kurtosis 4.240306727
Skewness 1.990727727
Range 437.4
Minimum 90.1
Maximum 527.5
Sum 351811.6
Count 1946
Largest(1) 527.5
Smallest(1) 90.1
Confidence
Level(95.0%) 3.458759947
Table A.3 Descriptive Analysis ofBajaj
Column1
Mean 1175.993251
StandardError 30.69947011
Median 1022.8
Mode 2400
Standard Deviation 704.0828266
Sample Variance 495732.6267
Kurtosis -1.053965374Skewness 0.525862477
Range 2426.9
Minimum 300
Maximum 2726.9
Sum 618572.45
Count 526
Largest(1) 2726.9
Smallest(1) 300
Confidence Level(95.0%) 60.30888705
Table A.4Descriptive Analysis ofMaruti
Column1
Mean 760.3957727
StandardError 8.251784972
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Median 743.65
Mode 412.45
Standard Deviation 348.7294539
Sample Variance 121612.232
Kurtosis -0.276390609
Skewness 0.668814453
Range 1534.85
Minimum 164.05
Maximum 1698.9
Sum 1358066.85
Count 1786
Largest(1) 1698.9
Smallest(1) 164.05
Confidence Level(95.0%) 16.18417491
Table A.5Descriptive Analysis of Tata Motors
Column1
Mean 393.8099162
StandardError 7.601091444
Median 435
Mode 167
Standard Deviation 143.8193993
Sample Variance 20684.01963
Kurtosis -0.858975946
Skewness -0.279280402
Range 636.65
Minimum 113.35
Maximum 750
Sum 140983.95
Count 358
Largest(1) 750
Smallest(1) 113.35
Confidence Level(95.0%) 14.94854308
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B.Study of Statistical Data and their properties(Telecom):
Table B.1Descriptive Analysis of Airtel
Column1
Mean 389.9290814
StandardError 6.404968253
Median 321.75
Mode 33.3
Standard Deviation 300.3513554
Sample Variance 90210.93668
Kurtosis -1.146314454
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Skewness 0.465762633
Range 1106
Minimum 20.75
Maximum 1126.75
Sum 857454.05
Count 2199
Largest(1) 1126.75
Smallest(1) 20.75
Confidence Level(95.0%) 12.56042331
Table B.2 Descriptive Analysis ofIdea
Column1
Mean 83.66429372
StandardError 0.97526328
Median 77.675
Mode 57.8
Standard Deviation 29.12757304
Sample Variance 848.4155109
Kurtosis -1.09520811
Skewness 0.400761022
Range 119.15
Minimum 36.8Maximum 155.95
Sum 74628.55
Count 892
Largest(1) 155.95
Smallest(1) 36.8
Confidence Level(95.0%) 1.914080953
Table B.3 Descriptive Analysis ofMTNL
Column1
Mean 120.0458063
StandardError 0.729248285
Median 121.6
Mode 142.5
Standard Deviation 32.63742531
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Sample Variance 1065.201531
Kurtosis -0.317095349
Skewness 0.129387344
Range 166.45
Minimum 53.35
Maximum 219.8
Sum 240451.75
Count 2003
Largest(1) 219.8
Smallest(1) 53.35
Confidence Level(95.0%) 1.430164974
Table B.4Descriptive Analysis ofReliance Commn
Column1
Mean 362.9861007
StandardError 5.2003096
Median 317.05
Mode 236
Standard Deviation 170.2654744
Sample Variance 28990.33178
Kurtosis -0.562170396
Skewness 0.615253556
Range 685.8
Minimum 132.3
Maximum 818.1
Sum 389121.1
Count 1072
Largest(1) 818.1
Smallest(1) 132.3
Confidence Level(95.0%) 10.20395081
Table B.5Descriptive Analysis of Tata CommnColumn1
Mean 20.41194054
StandardError 0.209730103
Median 20.3
Mode 11.5
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Standard Deviation 10.46340943
Sample Variance 109.4829369
Kurtosis 0.940549971
Skewness 0.640975784
Range 59.3
Minimum 4.35
Maximum 63.65
Sum 50805.32
Count 2489
Largest(1) 63.65
Smallest(1) 4.35
Confidence Level(95.0%) 0.411263509
C. ANOVA test for comparing Population Mean among 5 Companies in AutomobileSector:
Table C-Comparison of various Automobile Companies on basis of their Stock Prices:
Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Column 1 526 618572.5 1175.993 495732.6
Column 2 2003 1526692 762.2029 203636.2
Column 3 1946 351811.6 180.7871 6052.668
Column 4 1786 1358067 760.3958 121612.2
ANOVA
Source of Variation SS Df MS F P-value F crit
Between Groups 6.14E+08 3 2.05E+08 1427.039 0 2.606328
Within Groups 8.97E+08 6257 143325.8
Total 1.51E+09 6260
D. ANOVA test for comparing Population Mean among 5 Companies in Telecom Sector:
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Table D-Comparison of various Telecom Companies on basis of their Stock Prices:
Anova:
SingleFactor
SUMMARY
Groups Count Sum Average Variance
Column 1 892 74628.55 83.66429372 848.4155109
Column 2 2003 240451.75 120.0458063 1065.201531
Column 3 1072 389121.1 362.9861007 28990.33178
Column 4 2489 50805.32 20.41194054 109.4829369
ANOVA
Source of Variation SS Df MS F P-value F crit
Between Groups 89096148 3 29698716.05 5601.252775 0 2.606285
Within Groups 34209511 6452 5302.156008
Total 1.23E+08 6455
E. ANOVA test for comparing Population Mean among Automobile & Telecom Sector:
Table E-Comparison of various Automobile & Telecom Sectors on basis of their Stock Prices:
Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
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Column 1 334 349339 1045.925 58319.42
Column 2 419 70330.03 167.8521 2187.667
ANOVA
Source of
Variation SS df MS F P-value F crit
Between Groups 1.43E+08 1 1.43E+08 5292.083 0 3.853871
Within Groups 20334812 751 27076.98
Total 1.64E+08 752
8. Data Analysis
A.Study of Statistical Data and their properties(Automobile):
Table A.1Descriptive Analysis ofHero Honda
Factor Value Interpretation
Skewness 1.304590037 Positive Skewed Curve
Kurtosis 1.081689574 Mesokurtic Curve
Table A.2 Descriptive Analysis ofHonda Siel
Factor Value Interpretation
Skewness 1.990727727 Positive Skewed Curve
Kurtosis 4.240306727 Leptokurtic
Table A.3 Descriptive Analysis ofBajaj
Factor Value Interpretation
Skewness 0.525862477 Positive Skewed Curve
Kurtosis -1.053965374 Mesokurtic
Table A.4Descriptive Analysis ofMaruti
Factor Value Interpretation
Skewness 0.668814453 Positive Skewed Curve
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Kurtosis -0.276390609 Mesokurtic
Table A.5Descriptive Analysis of Tata Motors
Factor Value Interpretation
Skewness -0.279280402 Negative Skewed Curve
Kurtosis -0.858975946 Mesokurtic
B.Study of Statistical Data and their properties(Telecom):
Table B.1Descriptive Analysis of Airtel
Factor Value Interpretation
Skewness 0.465762633 Positive Skewed Curve
Kurtosis -1.146314454 Mesokurtic
Table B.2 Descriptive Analysis ofIdea
Factor Value Interpretation
Skewness 0.400761022 Positive Skewed Curve
Kurtosis -1.09520811 Mesokurtic
Table B.3 Descriptive Analysis ofMTNL
Factor Value Interpretation
Skewness 0.129387344 Positive Skewed Curve
Kurtosis 0.317095349 Mesokurtic
Table B.4Descriptive Analysis ofReliance Commn
Factor Value Interpretation
Skewness 0.615253556 Positive Skewed Curve
Kurtosis -0.562170396
Table B.5Descriptive Analysis of Tata Commn
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Factor Value Interpretation
Skewness 0.640975784 Positive Skewed Curve
Kurtosis 0.940549971 Mesokurtic
C. ANOVA test for comparing Population Mean among 5 Companies in Automobile Sector:
From Table-C, As F Calculated (1427.039) is greater than F-critical (2.606328) & p-value (0) is
less than (0.05), Hence Null Hypothesis is Rejected and there is significant difference in the
Variance between the 5 companies of Automobile Sector.
D. ANOVA test for comparing Population Mean among 5 Companies in Telecom Sector:
From Table-D, As F Calculated (5601.252775) is greater than F-critical (2.606285) & p-value (0)
is less than (0.05), Hence Null Hypothesis is Rejected and there is significant difference in the
Variance between the 5 companies of Telecom Sector.
E. ANOVA test for comparing Population Mean among Automobile & Telecom Sector:
From Table-E, As F Calculated (5292.083) is greater than F-critical (3.853871) & p-value (0) isless than (0.05), Hence Null Hypothesis is Rejected and there is significant difference in the
Variance between Automobile & Telecom Sector.
9. Policy Implications
10. Conclusion
11. Recommendation
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12. Bibliography
References
1.www.mu.ac.in/arts/social_science/eco/pdfs/depart/dwp3.pdf
2.http://www.trade.gov/static/India%20White%20Paper.pdf
3.http://gdrdeveloppementtransition.org/colloque_2008/RICHET-RUET.pdf
4.http://www.iaeng.org/publication/WCE2009/WCE2009_pp1147-1152.pdf
5.http://www.careratings.com/current/3/7683.pdf
6.http://gaj-india.com/usefulupdates/indiantelecom%20june%202010.pdf
7.http://www.iimahd.ernet.in/ctps/telecomsector.htm, last accessed on 19th August 2010.
8.http://www.economywatch.com/business-and-economy/automobile-industry.html , last
accessed on 19th
August 2010.
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TABLES:
TABLE NO CONTENT
Table T.1 Closing Stock Price ofHero Honda from 12-08-2002 to 16-08-2010
Table T.2 Closing Stock Price ofHero Siel from 1-01-2003 to 16-08-2010
Table T.3 Closing Stock Price ofBajaj from 25-05-2008 to 16-08-2010
Table T.4 Closing Stock Price ofMaruti Suzuki from 9-07-2003 to 16-08-2010
Table T.5 Closing Stock Price of Tata from 5-11-2008 to 16-08-2010
Table T.6 Closing Stock Price of Airtel from 20-02-2002 to 16-08-2010
Table T.7 Closing Stock Price ofIdea from 9-03-2007 to 16-08-2010
Table T.8 Closing Stock Price ofMTNL from 12-08-2002 to 16-08-2010
Table T.9 Closing Stock Price ofReliance Commn from 6-03-2006 to 16-08-2010
Table T.10 Closing Stock Price of Tata from 27-10-2000 to 16-08-2010
Table T.11
ANOVA Analysis table for Comparing Automobile with Telecom from 31-12-2008 to 16-08-2010
Table T.12ANOVA Analysis table for Comparing Telecom with Automobile from 31-12-2008 to 16-08-
2010
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Table T.1-Closing Stock Price ofHero Honda from 12-08-2002 to 16-08-2010
Date Close
16-08-2010 1890.05
13-08-2010 1887.35
12-08-2010 1865.1
11-08-2010 1864.8
10-08-2010 1867
09-08-2010 1865
06-08-2010 1836
05-08-2010 1862
04-08-2010 1876.25
03-08-2010 1862
02-08-2010 1826
30-07-2010 1814.9
29-07-2010 1870
28-07-2010 1852.8
27-07-2010 1863.05
26-07-2010 1807
23-07-2010 1948.4
22-07-2010 1949
21-07-2010 1941
20-07-2010 1945
19-07-2010 1959
16-07-2010 1978
15-07-2010 1975
14-07-2010 1986
13-07-2010 1980
12-07-2010 1990
09-07-2010 2017
08-07-2010 1996
07-07-2010 2000
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06-07-2010 2010
05-07-2010 2024
02-07-2010 2023
01-07-2010 2020
30-06-2010 2043.3
29-06-2010 2044.1
28-06-2010 2042.5
25-06-2010 2050
24-06-2010 2050
23-06-2010 2035
22-06-2010 2021
21-06-2010 2021.25
18-06-2010 2022
17-06-2010 1982.6
16-06-2010 2011.2
15-06-2010 2018
14-06-2010 2007.8
11-06-2010 2013.8
10-06-2010 2010.1
09-06-2010 1922
08-06-2010 1937
07-06-2010 1991.15
04-06-2010 1995
03-06-2010 1980
02-06-2010 1997.9
01-06-2010 1929
31-05-2010 1947.45
28-05-2010 1920
27-05-2010 1883
26-05-2010 1890
25-05-2010 1869.5
24-05-2010 1894
21-05-2010 1855
20-05-2010 187019-05-2010 1865
18-05-2010 1831.85
17-05-2010 1852
14-05-2010 1873
13-05-2010 1898.2
12-05-2010 1898
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11-05-2010 1893.9
10-05-2010 1887
07-05-2010 1885.55
06-05-2010 1902
05-05-2010 1886
04-05-2010 1925
03-05-2010 1918
30-04-2010 1909
29-04-2010 1832.1
28-04-2010 1848
27-04-2010 1861.5
26-04-2010 1865
23-04-2010 1880.1
22-04-2010 1912.7
21-04-2010 1887.3
20-04-2010 1852.85
19-04-2010 1895.45
16-04-2010 1925.6
15-04-2010 1953
13-04-2010 1975.1
12-04-2010 2089
09-04-2010 2062.9
08-04-2010 2024
07-04-2010 2046
06-04-2010 2035.35
05-04-2010 2059
01-04-2010 1946
31-03-2010 1948.9
30-03-2010 1965
29-03-2010 2006
26-03-2010 2007.55
25-03-2010 2040
23-03-2010 1939.05
22-03-2010 1950.2519-03-2010 1966
18-03-2010 1940
17-03-2010 1930
16-03-2010 1911.35
15-03-2010 1910.65
12-03-2010 1918
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11-03-2010 1908.25
10-03-2010 1954
09-03-2010 1876
08-03-2010 1912.85
05-03-2010 1874
04-03-2010 1801.7
03-03-2010 1811
02-03-2010 1793
26-02-2010 1798
25-02-2010 1700
24-02-2010 1676
23-02-2010 1701
22-02-2010 1709
19-02-2010 1681.4
18-02-2010 1701.9
17-02-2010 1693.25
16-02-2010 1701
15-02-2010 1705
11-02-2010 1670
19-01-2010 1660.05
18-01-2010 1693.9
15-01-2010 1622.1
14-01-2010 1617
13-01-2010 1627
12-01-2010 1646.1
11-01-2010 1680
08-01-2010 1659
07-01-2010 1650
06-01-2010 1694.05
05-01-2010 1715
04-01-2010 1713.95
31-12-2009 1723.7
30-12-2009 1705.5
29-12-2009 1743.7524-12-2009 1735.1
23-12-2009 1697.6
22-12-2009 1704
21-12-2009 1670
18-12-2009 1678
17-12-2009 1670
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16-12-2009 1665.1
15-12-2009 1666.8
14-12-2009 1687
11-12-2009 1673
10-12-2009 1674.1
09-12-2009 1703.5
08-12-2009 1673
07-12-2009 1678
04-12-2009 1674.95
03-12-2009 1693.4
02-12-2009 1704
01-12-2009 1738.1
30-11-2009 1720
27-11-2009 1758.7
26-11-2009 1740
25-11-2009 1732.05
24-11-2009 1689.1
23-11-2009 1647.3
20-11-2009 1647.2
19-11-2009 1637
18-11-2009 1667
17-11-2009 1680.9
16-11-2009 1648
13-11-2009 1574.9
12-11-2009 1521.1
11-11-2009 1516
10-11-2009 1485
09-11-2009 1557
06-11-2009 1530
05-11-2009 1568
04-11-2009 1525.05
03-11-2009 1516
30-10-2009 1565
29-10-2009 155028-10-2009 1584
27-10-2009 1587.5
26-10-2009 1595
23-10-2009 1585
22-10-2009 1590.05
21-10-2009 1609.2
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20-10-2009 1647.6
16-10-2009 1650
15-10-2009 1655.2
14-10-2009 1643
12-10-2009 1635
09-10-2009 1645
08-10-2009 1657.55
07-10-2009 1642
06-10-2009 1644.95
05-10-2009 1644
01-10-2009 1633
30-09-2009 1685.1
29-09-2009 1653.05
25-09-2009 1644.5
24-09-2009 1663
23-09-2009 1681
22-09-2009 1688
18-09-2009 1680
17-09-2009 1655
16-09-2009 1674
15-09-2009 1614
14-09-2009 1569.6
11-09-2009 1570.15
10-09-2009 1570
09-09-2009 1626.85
08-09-2009 1671.7
07-09-2009 1631
04-09-2009 1610
03-09-2009 1545.1
02-09-2009 1567.5
01-09-2009 1535
31-08-2009 1515
28-08-2009 1508.5
27-08-2009 147626-08-2009 1498.9
25-08-2009 1512.8
24-08-2009 1523.1
17-08-2009 1394.8
14-08-2009 1478.25
13-08-2009 1508
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12-08-2009 1431.35
11-08-2009 1424.7
10-08-2009 1423.95
07-08-2009 1479
06-08-2009 1518.95
05-08-2009 1600.95
04-08-2009 1620.3
03-08-2009 1625
31-07-2009 1599.95
30-07-2009 1633.05
29-07-2009 1636
28-07-2009 1676
27-07-2009 1685
24-07-2009 1731.7
23-07-2009 1665
22-07-2009 1614.55
21-07-2009 1640.95
20-07-2009 1639
17-07-2009 1641
16-07-2009 1536
15-07-2009 1490
14-07-2009 1400.05
13-07-2009 1400
10-07-2009 1448.9
09-07-2009 1472.5
08-07-2009 1460
07-07-2009 1436.5
06-07-2009 1355.5
03-07-2009 1365.9
02-07-2009 1375.15
01-07-2009 1396
30-06-2009 1395.05
29-06-2009 1382
26-06-2009 1410.525-06-2009 1428
24-06-2009 1454.65
23-06-2009 1431
22-06-2009 1474.3
19-06-2009 1466.1
18-06-2009 1452
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17-06-2009 1355.05
16-06-2009 1415
15-06-2009 1419.55
12-06-2009 1465
11-06-2009 1475.2
10-06-2009 1490
09-06-2009 1488
08-06-2009 1450
05-06-2009 1460
04-06-2009 1354
03-06-2009 1382.75
02-06-2009 1381
01-06-2009 1365.8
29-05-2009 1335
28-05-2009 1322
27-05-2009 1357.9
26-05-2009 1345
25-05-2009 1321.5
22-05-2009 1295
21-05-2009 1258.1
20-05-2009 1289
19-05-2009 1315
18-05-2009 1487.3
15-05-2009 1223.15
14-05-2009 1213.05
13-05-2009 1192
12-05-2009 1191
11-05-2009 1216.3
08-05-2009 1228.85
07-05-2009 1221
06-05-2009 1206
05-05-2009 1194
04-05-2009 1199
29-04-2009 1184.928-04-2009 1127.9
27-04-2009 1130
24-04-2009 1143
23-04-2009 1122.15
22-04-2009 1082
21-04-2009 1097.1
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20-04-2009 1125.1
17-04-2009 1116
16-04-2009 1076.5
15-04-2009 1070
13-04-2009 1055
09-04-2009 1063.15
08-04-2009 1094
06-04-2009 1069.8
02-04-2009 1030
01-04-2009 1030
31-03-2009 1072.1
30-03-2009 1044
27-03-2009 1085
26-03-2009 1016.05
25-03-2009 1013
24-03-2009 1003.9
23-03-2009 993.9
20-03-2009 999
19-03-2009 989.95
18-03-2009 1002.45
17-03-2009 982
16-03-2009 964.2
13-03-2009 964
12-03-2009 970
09-03-2009 932
06-03-2009 927.5
05-03-2009 938.8
04-03-2009 933.6
03-03-2009 901
02-03-2009 896
27-02-2009 935.5
26-02-2009 930
25-02-2009 897.5
24-02-2009 901.320-02-2009 919.95
19-02-2009 931.9
18-02-2009 932
17-02-2009 950
16-02-2009 930
13-02-2009 932.95
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12-02-2009 919.95
11-02-2009 906
10-02-2009 888
09-02-2009 892
06-02-2009 880
05-02-2009 873.05
04-02-2009 875.9
03-02-2009 878.1
02-02-2009 876.35
30-01-2009 876.5
29-01-2009 875
28-01-2009 870.15
27-01-2009 857
23-01-2009 848.6
22-01-2009 849
21-01-2009 838
20-01-2009 834.8
19-01-2009 840
16-01-2009 847
15-01-2009 830.2
14-01-2009 829.9
13-01-2009 808.5
12-01-2009 780
09-01-2009 799.8
07-01-2009 773.5
06-01-2009 792.25
05-01-2009 777
02-01-2009 790
01-01-2009 809
31-12-2008 802.25
30-12-2008 811
29-12-2008 805
26-12-2008 791
24-12-2008 81323-12-2008 809
22-12-2008 802.8
19-12-2008 817.2
18-12-2008 822.75
17-12-2008 804
16-12-2008 810
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15-12-2008 792.25
12-12-2008 775.15
11-12-2008 793.5
10-12-2008 793.2
08-12-2008 788
05-12-2008 762.75
04-12-2008 750
03-12-2008 744.9
02-12-2008 758
01-12-2008 759.95
28-11-2008 800
26-11-2008 780
25-11-2008 739
24-11-2008 730
21-11-2008 735.15
20-11-2008 713.25
19-11-2008 739.9
18-11-2008 725
17-11-2008 718
14-11-2008 737.95
12-11-2008 753.05
11-11-2008 750
10-11-2008 760
07-11-2008 750
06-11-2008 723
05-11-2008 745
04-11-2008 736.1
03-11-2008 729.25
31-10-2008 745
29-10-2008 752.75
28-10-2008 735
27-10-2008 708
24-10-2008 734
23-10-2008 767.0522-10-2008 816.45
21-10-2008 826
20-10-2008 805.75
17-10-2008 827
16-10-2008 845.05
15-10-2008 829
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14-10-2008 815.1
13-10-2008 831
10-10-2008 818.8
08-10-2008 884.25
07-10-2008 872
06-10-2008 860.25
03-10-2008 890
01-10-2008 869.95
30-09-2008 873
29-09-2008 840.15
26-09-2008 850
25-09-2008 855
24-09-2008 844.95
23-09-2008 830.8
22-09-2008 817.9
19-09-2008 822.15
18-09-2008 840
17-09-2008 816.1
16-09-2008 855
15-09-2008 825.2
12-09-2008 835
11-09-2008 834
10-09-2008 837.5
09-09-2008 828.55
08-09-2008 855
05-09-2008 860
04-09-2008 878
02-09-2008 857.4
01-09-2008 845
29-08-2008 825
28-08-2008 813
27-08-2008 809.2
26-08-2008 797.05
25-08-2008 804.5522-08-2008 797.1
21-08-2008 803
20-08-2008 805
19-08-2008 796.05
18-08-2008 790.1
14-08-2008 785.8
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13-08-2008 812
12-08-2008 820
11-08-2008 829.85
08-08-2008 820
07-08-2008 819
06-08-2008 823
05-08-2008 826.25
04-08-2008 795.15
01-08-2008 797
31-07-2008 788.05
30-07-2008 778
29-07-2008 729
28-07-2008 760
25-07-2008 758
24-07-2008 762
23-07-2008 750
22-07-2008 729.8
21-07-2008 723
18-07-2008 683
17-07-2008 657.2
16-07-2008 635
15-07-2008 654.65
14-07-2008 660
11-07-2008 664.05
10-07-2008 688
09-07-2008 743
08-07-2008 685.5
07-07-2008 699
04-07-2008 667.35
03-07-2008 651.6
02-07-2008 674.8
01-07-2008 682
30-06-2008 685
27-06-2008 68426-06-2008 748
25-06-2008 695.35
24-06-2008 707
23-06-2008 735
20-06-2008 760
19-06-2008 808
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Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
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18-06-2008 782.25
17-06-2008 775.6
16-06-2008 763
13-06-2008 788
12-06-2008 808
11-06-2008 835
10-06-2008 774
06-06-2008 759.5
05-06-2008 769
04-06-2008 785
03-06-2008 798
02-06-2008 779
30-05-2008 752
29-05-2008 770
28-05-2008 795.15
27-05-2008 790
26-05-2008 792
23-05-2008 800
22-05-2008 787.1
21-05-2008 785
20-05-2008 803
16-05-2008 807.25
15-05-2008 807.7
14-05-2008 819.85
13-05-2008 803
12-05-2008 798.2
09-05-2008 812.05
08-05-2008 815
07-05-2008 819
06-05-2008 817
05-05-2008 818.1
02-05-2008 843.1
30-04-2008 853.95
29-04-2008 857.0528-04-2008 818.5
25-04-2008 812.25
24-04-2008 780
23-04-2008 748
22-04-2008 758
21-04-2008 746.1
8/7/2019 Business_Statistics_Project2_2010
42/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
42
17-04-2008 740
16-04-2008 742
15-04-2008 740
11-04-2008 740
10-04-2008 746
09-04-2008 745
08-04-2008 737.05
07-04-2008 750
04-04-2008 762.5
03-04-2008 751
02-04-2008 740
01-04-2008 707
31-03-2008 689.9
28-03-2008 719
27-03-2008 686.25
26-03-2008 679.75
25-03-2008 675.05
19-03-2008 657
18-03-2008 680.1
14-03-2008 711
13-03-2008 737
12-03-2008 732.9
11-03-2008 734.25
10-03-2008 758
07-03-2008 764.45
05-03-2008 775
04-03-2008 773.15
03-03-2008 775
29-02-2008 762
28-02-2008 750
27-02-2008 718
26-02-2008 738.95
25-02-2008 740
22-02-2008 71521-02-2008 730
20-02-2008 724.7
19-02-2008 720.2
18-02-2008 719
15-02-2008 732.05
14-02-2008 730
8/7/2019 Business_Statistics_Project2_2010
43/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
43
13-02-2008 720
12-02-2008 674.75
11-02-2008 683
08-02-2008 709.9
07-02-2008 710
06-02-2008 719.85
05-02-2008 732
04-02-2008 757
01-02-2008 725.05
31-01-2008 682
30-01-2008 697
29-01-2008 686
28-01-2008 694.75
25-01-2008 696
24-01-2008 650
23-01-2008 606
22-01-2008 582
21-01-2008 652.9
18-01-2008 696
17-01-2008 696.95
16-01-2008 692
15-01-2008 706
14-01-2008 705
11-01-2008 662
10-01-2008 684
09-01-2008 688
08-01-2008 691.3
07-01-2008 702
04-01-2008 699.45
03-01-2008 710
02-01-2008 696
01-01-2008 698
31-12-2007 697
28-12-2007 69927-12-2007 705
26-12-2007 701
24-12-2007 700
20-12-2007 700
19-12-2007 706.5
18-12-2007 706
8/7/2019 Business_Statistics_Project2_2010
44/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
44
17-12-2007 708.5
14-12-2007 714
13-12-2007 715
12-12-2007 703
11-12-2007 701
10-12-2007 690.25
07-12-2007 690
06-12-2007 688.8
05-12-2007 698
04-12-2007 697.05
03-12-2007 705
30-11-2007 723
29-11-2007 741.8
28-11-2007 705.25
27-11-2007 727
26-11-2007 726
23-11-2007 715
22-11-2007 708
21-11-2007 710
20-11-2007 696.05
19-11-2007 708
16-11-2007 696
15-11-2007 689
14-11-2007 672
13-11-2007 662
12-11-2007 660
09-11-2007 662
08-11-2007 675
07-11-2007 670
06-11-2007 667.5
05-11-2007 668
02-11-2007 673
01-11-2007 687
31-10-2007 72530-10-2007 727.9
29-10-2007 744.95
26-10-2007 737
25-10-2007 740.1
24-10-2007 738
23-10-2007 751
8/7/2019 Business_Statistics_Project2_2010
45/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
45
22-10-2007 757.95
19-10-2007 752
18-10-2007 730
17-10-2007 738.1
16-10-2007 752.05
15-10-2007 768
12-10-2007 756
11-10-2007 752
10-10-2007 757
09-10-2007 746
08-10-2007 730
05-10-2007 722
04-10-2007 720.1
03-10-2007 734
01-10-2007 732
28-09-2007 741.1
27-09-2007 740
26-09-2007 740.95
25-09-2007 744.9
24-09-2007 770
21-09-2007 731
20-09-2007 711
19-09-2007 704
18-09-2007 676.85
17-09-2007 664.1
14-09-2007 668.5
13-09-2007 668.95
12-09-2007 657
11-09-2007 659
10-09-2007 661
07-09-2007 668.9
06-09-2007 655
05-09-2007 635.35
04-09-2007 642.103-09-2007 645
31-08-2007 649
30-08-2007 648.5
29-08-2007 634
28-08-2007 631.5
27-08-2007 638
8/7/2019 Business_Statistics_Project2_2010
46/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
46
24-08-2007 638.2
23-08-2007 623
22-08-2007 628.5
21-08-2007 634
20-08-2007 644
17-08-2007 625
16-08-2007 644
14-08-2007 652
13-08-2007 658.5
10-08-2007 656.95
09-08-2007 679.6
08-08-2007 679
07-08-2007 654.3
06-08-2007 649.45
03-08-2007 655.45
02-08-2007 652.25
01-08-2007 668.25
31-07-2007 674.05
30-07-2007 685.05
27-07-2007 683.6
26-07-2007 716.95
25-07-2007 698.9
24-07-2007 697.4
23-07-2007 708.95
20-07-2007 684.1
19-07-2007 694.1
18-07-2007 719.1
17-07-2007 700.05
16-07-2007 685.2
13-07-2007 678.8
12-07-2007 673.4
11-07-2007 669.7
10-07-2007 670.45
09-07-2007 687.706-07-2007 699.3
05-07-2007 688.15
04-07-2007 685.45
03-07-2007 689.25
02-07-2007 691.8
29-06-2007 692.6
8/7/2019 Business_Statistics_Project2_2010
47/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
47
28-06-2007 678.75
27-06-2007 676.7
26-06-2007 670.15
25-06-2007 670.4
22-06-2007 668.4
21-06-2007 663.1
20-06-2007 669.4
19-06-2007 666.1
18-06-2007 654.35
15-06-2007 680.05
14-06-2007 682.95
13-06-2007 694.7
12-06-2007 704.5
11-06-2007 698.6
08-06-2007 684.6
07-06-2007 701.2
06-06-2007 716.35
05-06-2007 716.1
04-06-2007 712.5
31-05-2007 732.4
30-05-2007 697.25
29-05-2007 688.65
28-05-2007 682.25
25-05-2007 679.2
24-05-2007 674.85
23-05-2007 690.2
22-05-2007 689.95
21-05-2007 681.85
18-05-2007 685.55
17-05-2007 678.3
16-05-2007 677.85
15-05-2007 697.6
14-05-2007 688.1
11-05-2007 704.810-05-2007 706.95
09-05-2007 700.15
08-05-2007 679.7
07-05-2007 706.05
04-05-2007 699.45
03-05-2007 704.3
8/7/2019 Business_Statistics_Project2_2010
48/430
8/7/2019 Business_Statistics_Project2_2010
49/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
49
28-02-2007 677.75
27-02-2007 687.2
26-02-2007 698.95
23-02-2007 706.3
22-02-2007 715.5
21-02-2007 740.45
20-02-2007 718.45
15-02-2007 745.5
14-02-2007 711.55
13-02-2007 720.35
12-02-2007 733.25
09-02-2007 726.1
08-02-2007 728.15
07-02-2007 738.95
06-02-2007 719.55
05-02-2007 731.35
02-02-2007 716.25
01-02-2007 725.7
31-01-2007 716.3
29-01-2007 716.05
25-01-2007 717
24-01-2007 719.25
23-01-2007 717.1
22-01-2007 724.35
19-01-2007 729.85
18-01-2007 730.3
17-01-2007 728.85
16-01-2007 726.55
15-01-2007 734.1
12-01-2007 743.15
11-01-2007 733.05
10-01-2007 730.1
09-01-2007 730.3
08-01-2007 733.705-01-2007 749.95
04-01-2007 755.4
03-01-2007 778.3
02-01-2007 785.45
29-12-2006 763.7
28-12-2006 760.25
8/7/2019 Business_Statistics_Project2_2010
50/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
50
27-12-2006 746.35
26-12-2006 748.35
22-12-2006 750.25
21-12-2006 729.75
20-12-2006 725.25
19-12-2006 753.95
18-12-2006 750.65
15-12-2006 737
14-12-2006 712.2
13-12-2006 718.6
12-12-2006 724.9
11-12-2006 738.8
08-12-2006 745.35
07-12-2006 750.45
06-12-2006 767.75
05-12-2006 768.65
04-12-2006 765
01-12-2006 771.15
30-11-2006 742.25
29-11-2006 744.35
28-11-2006 741.5
27-11-2006 736.55
24-11-2006 739.85
23-11-2006 748.75
22-11-2006 730.15
21-11-2006 709.5
20-11-2006 708.3
17-11-2006 694.9
16-11-2006 709.4
15-11-2006 713.7
14-11-2006 706.35
13-11-2006 714.5
10-11-2006 725.55
09-11-2006 717.308-11-2006 712.5
07-11-2006 742.55
06-11-2006 760.85
03-11-2006 761.05
02-11-2006 766.05
01-11-2006 765.2
8/7/2019 Business_Statistics_Project2_2010
51/430
8/7/2019 Business_Statistics_Project2_2010
52/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
52
30-08-2006 720.4
29-08-2006 719.3
28-08-2006 715.35
25-08-2006 714.2
24-08-2006 713.4
23-08-2006 700.15
22-08-2006 705.35
21-08-2006 697.6
18-08-2006 706.2
17-08-2006 693.65
16-08-2006 705.15
14-08-2006 682.55
11-08-2006 695.95
10-08-2006 674.3
09-08-2006 678.1
08-08-2006 668.95
07-08-2006 669.9
04-08-2006 688.1
02-08-2006 696.65
01-08-2006 696.8
31-07-2006 705.9
28-07-2006 698.3
27-07-2006 692
26-07-2006 704
25-07-2006 712.7
24-07-2006 712.15
21-07-2006 709.6
20-07-2006 715.9
19-07-2006 713.9
18-07-2006 719.2
17-07-2006 709.75
14-07-2006 717.75
13-07-2006 711.15
12-07-2006 728.711-07-2006 721.25
10-07-2006 766.8
07-07-2006 748.15
06-07-2006 776.4
05-07-2006 792.35
04-07-2006 792.35
8/7/2019 Business_Statistics_Project2_2010
53/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
53
03-07-2006 790.9
30-06-2006 793.65
29-06-2006 787.8
28-06-2006 756.8
27-06-2006 751.1
26-06-2006 733.4
23-06-2006 759.45
22-06-2006 769.8
21-06-2006 756.15
20-06-2006 747.75
19-06-2006 743.9
14-06-2006 642.65
13-06-2006 656.7
12-06-2006 705.3
09-06-2006 751.8
08-06-2006 735.9
07-06-2006 739.1
06-06-2006 756.6
05-06-2006 755.35
02-06-2006 762.65
01-06-2006 719.9
31-05-2006 801.8
30-05-2006 801.8
29-05-2006 848.2
26-05-2006 826.1
25-05-2006 792.7
24-05-2006 773.25
23-05-2006 793.65
22-05-2006 813.8
19-05-2006 823.4
18-05-2006 872.9
17-05-2006 892.65
16-05-2006 848.5
15-05-2006 853.3512-05-2006 879.2
11-05-2006 871.1
10-05-2006 879.75
09-05-2006 881
08-05-2006 876.5
05-05-2006 858.2
8/7/2019 Business_Statistics_Project2_2010
54/430
8/7/2019 Business_Statistics_Project2_2010
55/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
55
09-03-2006 880.6
08-03-2006 901
07-03-2006 887.85
06-03-2006 884.3
03-03-2006 879.65
02-03-2006 900.25
01-03-2006 896.4
28-02-2006 889.3
27-02-2006 887.85
24-02-2006 889.45
23-02-2006 913.8
22-02-2006 897.3
21-02-2006 885.4
20-02-2006 885.4
17-02-2006 889.1
16-02-2006 921.25
15-02-2006 893
14-02-2006 903.75
13-02-2006 906.75
10-02-2006 922.7
09-02-2006 885.05
08-02-2006 885.05
07-02-2006 874.15
06-02-2006 870.6
03-02-2006 849.3
02-02-2006 859.2
01-02-2006 864.75
31-01-2006 857.2
30-01-2006 850.85
27-01-2006 876.85
26-01-2006 862.25
25-01-2006 862.25
24-01-2006 838.15
23-01-2006 835.7520-01-2006 841.65
19-01-2006 841.65
18-01-2006 832.25
17-01-2006 841
16-01-2006 841
13-01-2006 838.75
8/7/2019 Business_Statistics_Project2_2010
56/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
56
12-01-2006 842.65
11-01-2006 846.3
10-01-2006 846.3
09-01-2006 873.2
06-01-2006 877.25
05-01-2006 867.95
04-01-2006 856.65
03-01-2006 861.25
02-01-2006 846.1
30-12-2005 859.2
29-12-2005 845.45
28-12-2005 851.55
27-12-2005 862.5
26-12-2005 849.8
23-12-2005 853.3
22-12-2005 870.15
21-12-2005 874.65
20-12-2005 840.15
19-12-2005 855.25
16-12-2005 846.95
15-12-2005 835.85
14-12-2005 858.05
13-12-2005 852.7
12-12-2005 852.2
09-12-2005 856
08-12-2005 825.05
07-12-2005 824.45
06-12-2005 806.4
05-12-2005 797.85
02-12-2005 823.6
01-12-2005 822.6
30-11-2005 833.75
29-11-2005 851.65
28-11-2005 859.9525-11-2005 849.3
24-11-2005 840.85
23-11-2005 843.4
22-11-2005 835.65
21-11-2005 838.65
18-11-2005 816.9
8/7/2019 Business_Statistics_Project2_2010
57/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
57
17-11-2005 806.65
16-11-2005 792.1
15-11-2005 786.4
14-11-2005 786.4
11-11-2005 806.2
10-11-2005 777.25
09-11-2005 778.5
08-11-2005 788.7
07-11-2005 749.05
04-11-2005 715.7
03-11-2005 715.7
02-11-2005 715.7
01-11-2005 707.9
31-10-2005 707.9
28-10-2005 696.3
27-10-2005 721.05
26-10-2005 705.35
25-10-2005 715.6
24-10-2005 726.85
21-10-2005 743.1
20-10-2005 698.4
19-10-2005 688.6
18-10-2005 716.45
17-10-2005 696
14-10-2005 689.95
13-10-2005 703.25
12-10-2005 729.4
11-10-2005 729.4
10-10-2005 743.4
07-10-2005 731.05
06-10-2005 743.75
05-10-2005 756.85
04-10-2005 763.4
03-10-2005 748.5530-09-2005 741.3
29-09-2005 744.05
28-09-2005 726.95
27-09-2005 715.3
26-09-2005 713.4
23-09-2005 699.6
8/7/2019 Business_Statistics_Project2_2010
58/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
58
22-09-2005 691.95
21-09-2005 704.2
20-09-2005 704.2
19-09-2005 697.2
16-09-2005 684.9
15-09-2005 685.2
14-09-2005 686.6
13-09-2005 691.6
12-09-2005 698.25
09-09-2005 693.6
08-09-2005 701.25
07-09-2005 703.45
06-09-2005 703.45
05-09-2005 695
02-09-2005 684.5
01-09-2005 666.05
31-08-2005 646.4
30-08-2005 641.2
29-08-2005 643.55
26-08-2005 652.05
25-08-2005 650.2
24-08-2005 649.9
23-08-2005 683.7
22-08-2005 683.7
19-08-2005 679.05
18-08-2005 681.2
17-08-2005 678.4
16-08-2005 679.75
15-08-2005 693.1
12-08-2005 693.1
11-08-2005 654
10-08-2005 626.2
09-08-2005 608.65
08-08-2005 606.5505-08-2005 615
04-08-2005 630.65
03-08-2005 626.95
02-08-2005 631.45
01-08-2005 632.65
29-07-2005 622.7
8/7/2019 Business_Statistics_Project2_2010
59/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
59
28-07-2005 609.9
27-07-2005 609.9
26-07-2005 609.95
25-07-2005 605.6
22-07-2005 616.6
21-07-2005 607.3
20-07-2005 615
19-07-2005 638.35
18-07-2005 654.3
15-07-2005 628.4
14-07-2005 620.55
13-07-2005 632.2
12-07-2005 592.8
11-07-2005 592.8
08-07-2005 586.6
07-07-2005 581.25
06-07-2005 576.75
05-07-2005 578.85
04-07-2005 583.75
01-07-2005 582.5
30-06-2005 582.5
29-06-2005 576.85
28-06-2005 576.7
27-06-2005 584.85
24-06-2005 601.95
23-06-2005 580.8
22-06-2005 554.9
21-06-2005 550.15
20-06-2005 548.15
17-06-2005 551.05
16-06-2005 550.8
15-06-2005 549.4
14-06-2005 540.35
13-06-2005 551.810-06-2005 551.8
09-06-2005 555.6
08-06-2005 557.3
07-06-2005 555.25
06-06-2005 552.3
03-06-2005 557.9
8/7/2019 Business_Statistics_Project2_2010
60/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
60
02-06-2005 557.9
01-06-2005 560
31-05-2005 552.9
30-05-2005 569.35
27-05-2005 594.4
26-05-2005 594.4
25-05-2005 578.75
24-05-2005 568.5
23-05-2005 571.1
20-05-2005 567.95
19-05-2005 560.65
18-05-2005 550.1
17-05-2005 550.1
16-05-2005 552.05
13-05-2005 546.35
12-05-2005 552.05
11-05-2005 551.2
10-05-2005 546.9
09-05-2005 550.5
06-05-2005 540.55
05-05-2005 539.4
04-05-2005 528.8
03-05-2005 513.3
02-05-2005 515.2
29-04-2005 503.65
28-04-2005 521
27-04-2005 501.8
26-04-2005 504.55
25-04-2005 507.5
22-04-2005 506.5
21-04-2005 515.65
20-04-2005 515.1
19-04-2005 486.45
18-04-2005 501.115-04-2005 517.5
14-04-2005 513.65
13-04-2005 513.65
12-04-2005 525.65
11-04-2005 533.55
08-04-2005 533.55
8/7/2019 Business_Statistics_Project2_2010
61/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
61
07-04-2005 541.25
06-04-2005 535.3
05-04-2005 539.7
04-04-2005 536.6
01-04-2005 544.5
31-03-2005 548
30-03-2005 544.25
29-03-2005 519.05
28-03-2005 540.7
25-03-2005 544.35
24-03-2005 544.35
23-03-2005 545.6
22-03-2005 530.7
21-03-2005 535.85
18-03-2005 539.1
17-03-2005 553.65
16-03-2005 553.65
15-03-2005 564
14-03-2005 574.85
11-03-2005 563.75
10-03-2005 553.85
09-03-2005 553.85
08-03-2005 554.65
07-03-2005 562.5
04-03-2005 560.2
03-03-2005 563.05
02-03-2005 550.3
01-03-2005 548.55
28-02-2005 544.55
25-02-2005 519.4
24-02-2005 537.1
23-02-2005 536.6
22-02-2005 540
21-02-2005 54218-02-2005 535.8
17-02-2005 531.4
16-02-2005 548.7
15-02-2005 555.6
14-02-2005 563.95
11-02-2005 550.35
8/7/2019 Business_Statistics_Project2_2010
62/430
Comparative Analysis of Automobile Sector and Telecom Sector using ANOVA
62
10-02-2005 532.45
09-02-2005 529.65
08-02-2005 528.4
07-02-2005 533.45
04-02-2005 542.8
03-02-2005 533.95
02-02-2005 529.95
01-02-2005 531.45
31-01-2005 538.1
28-01-2005 531.4
27-01-2005 540
26-01-2005 524.1
25-01-2005 524.1
24-01-2005 537
21-01-2005 537
20-01-2005 537
19-01-2005 542.65
18-01-2005 535.95
17-01-2005 521.85
14-01-2005 524.55
13-01-2005 554.2
12-01-2005 550.15
11-01-2005 571.1
10-01-2005 576.2
07-01-2005 572.45
06-01-2005 576.35
05-01-2005 566
04-01-2005 612
03-01-2005 601.05
31-12-2004 572.35
30-12-2004 568.95
29-12-2004 559.7
28-12-2004 549
27-12-2004 54924-12-2004 548.75
23-12-2004 547.4
22-12-2004 553.85
21-12-2004 557.7
20-12-2004 522.1
17-12-2004 508.7
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16-12-2004 509.1
15-12-2004 518.8
14-12-2004 507.3
13-12-2004 480.85
10-12-2004 480.85
09-12-2004 487.95
08-12-2004 490.2
07-12-2004 490.4
06-12-2004 487.3
03-12-2004 475.25
02-12-2004 474.65
01-12-2004 469.45
30-11-2004 492.8
29-11-2004 482.55
26-11-2004 473
25-11-2004 473
24-11-2004 446.6
23-11-2004 439.45
22-11-2004 443.05
19-11-2004 442.4
18-11-2004 442.4
17-11-2004 451.75
16-11-2004 441.3
15-11-2004 438.3
12-11-2004 438.3
11-11-2004 434.95
10-11-2004 442.3
09-11-2004 434
08-11-2004 435.25
05-11-2004 427.3
04-11-2004 432.65
03-11-2004 428.95
02-11-2004 429.6
01-11-2004 426.9529-10-2004 429.25
28-10-2004 429.25
27-10-2004 437.3
26-10-2004 425.2
25-10-2004 416.8
22-10-2004 419.6
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21-10-2004 419.6
20-10-2004 420.45
19-10-2004 420.55
18-10-2004 420.9
15-10-2004 426.05
14-10-2004 426.05
13-10-2004 425.7
12-10-2004 425.7
11-10-2004 430.55
08-10-2004 437.6
07-10-2004 437.6
06-10-2004 430.45
05-10-2004 444.4
04-10-2004 453.3
01-10-2004 454.05
30-09-2004 448.2
29-09-2004 436.55
28-09-2004 435.15
27-09-2004 442.6
24-09-2004 442.65
23-09-2004 446.3
22-09-2004 455.15
21-09-2004 449.95
20-09-2004 453
17-09-2004 458.15
16-09-2004 458.45
15-09-2004 457
14-09-2004 462.75
13-09-2004 446.15
10-09-2004 442
09-09-2004 442
08-09-2004 450.3
07-09-2004 455.4
06-09-2004 451.0503-09-2004 442.55
02-09-2004 443.95
01-09-2004 447.1
31-08-2004 442.95
30-08-2004 449.45
27-08-2004 443.35
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26-08-2004 447.85
25-08-2004 449.05
24-08-2004 449.55
23-08-2004 449.4
20-08-2004 447.2
19-08-2004 448.75
18-08-2004 438.9
17-08-2004 441.05
16-08-2004 434.4
13-08-2004 441.2
12-08-2004 450.15
11-08-2004 450.15
10-08-2004 464.15
09-08-2004 465.8
06-08-2004 452
05-08-2004 447.6
04-08-2004 430.1
03-08-2004 432.3
02-08-2004 438.1
30-07-2004 429.2
29-07-2004 417.8
28-07-2004 433.8
27-07-2004 442.35
26-07-2004 442.35
23-07-2004 440.4
22-07-2004 437.35
21-07-2004 440.7
20-07-2004 436.3
19-07-2004 451.7
16-07-2004 462.45
15-07-2004 459.8
14-07-2004 450.75
13-07-2004 467.85
12-07-2004 486.909-07-2004 501.5
08-07-2004 491
07-07-2004 520.95
06-07-2004 528.4
05-07-2004 516.15
02-07-2004 511.25
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01-07-2004 504.1
30-06-2004 506.75
29-06-2004 507.75
28-06-2004 489.3
25-06-2004 492.75
24-06-2004 489.55
23-06-2004 470.1
22-06-2004 474.85
21-06-2004 482.15
18-06-2004 472.5
17-06-2004 472.9
16-06-2004 476
15-06-2004 482.25
14-06-2004 474.4
11-06-2004 474.6
10-06-2004 473.25
09-06-2004 479.2
08-06-2004 481.35
07-06-2004 469.55
04-06-2004 478.65
03-06-2004 469.85
02-06-2004 478.45
01-06-2004 462.1
31-05-2004 445.85
28-05-2004 450.25
27-05-2004 488.7
26-05-2004 476.95
25-05-2004 481.6
24-05-2004 474.15
21-05-2004 458.9
20-05-2004 449.6
19-05-2004 441.45
18-05-2004 433.3
17-05-2004 408.214-05-2004 442.95
13-05-2004 452
12-05-2004 463.6
11-05-2004 462.8
10-05-2004 485.25
07-05-2004 492
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06-05-2004 492.55
05-05-2004 480.85
04-05-2004 474.1
03-05-2004 462.55
30-04-2004 481.8
29-04-2004 481.05
28-04-2004 479.45
27-04-2004 481.35
26-04-2004 498.55
23-04-2004 498.55
22-04-2004 501
21-04-2004 499.9
20-04-2004 486.4
19-04-2004 488.9
16-04-2004 502.65
15-04-2004 502.65
14-04-2004 501.7
13-04-2004 501.7
12-04-2004 504.85
09-04-2004 513.1
08-04-2004 513.1
07-04-2004 504.5
06-04-2004 489.85
05-04-2004 493.55
02-04-2004 495.6
01-04-2004 501.8
31-03-2004 490.6
30-03-2004 478.35
29-03-2004 479.15
26-03-2004 470.35
25-03-2004 463.05
24-03-2004 461.9
23-03-2004 450.4
22-03-2004 444.519-03-2004 453.75
18-03-2004 453.45
17-03-2004 467
16-03-2004 478.35
15-03-2004 450.25
12-03-2004 475.1
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11-03-2004 472.75
10-03-2004 496.15
09-03-2004 530.95
08-03-2004 539.5
05-03-2004 533.5
04-03-2004 520.1
03-03-2004 524.15
02-03-2004 516.95
01-03-2004 516.95
27-02-2004 492.55
26-02-2004 499.8
25-02-2004 499.85
24-02-2004 513.5
23-02-2004 485.1
20-02-2004 511.6
19-02-2004 491.15
18-02-2004 504.05
17-02-2004 498.3
16-02-2004 504.3
13-02-2004 501
12-02-2004 505.6
11-02-2004 483.15
10-02-2004 480.3
09-02-2004 483.1
06-02-2004 463.9
05-02-2004 463
04-02-2004 460.75
03-02-2004 438.85
02-02-2004 452.1
30-01-2004 452.1
29-01-2004 448.05
28-01-2004 459
27-01-2004 464.4
26-01-2004 455.223-01-2004 455.2
22-01-2004 427.5
21-01-2004 450.9
20-01-2004 481.9
19-01-2004 485.05
16-01-2004 462.05
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15-01-2004 459.7
14-01-2004 479.5
13-01-2004 490.55
12-01-2004 484.4
09-01-2004 482.95
08-01-2004 455.75
07-01-2004 446.85
06-01-2004 445.8
05-01-2004 450.6
02-01-2004 466
01-01-2004 458.9
31-12-2003 448.4
30-12-2003 453.4
29-12-2003 463.6
26-12-2003 462.3
25-12-2003 447.9
24-12-2003 447.9
23-12-2003 417.25
22-12-2003 409.4
19-12-2003 412.7
18-12-2003 397.7
17-12-2003 389.75
16-12-2003 386.7
15-12-2003 397.85
12-12-2003 396.3
11-12-2003 399.85
10-12-2003 395.6
09-12-2003 397.3
08-12-2003 384.8
05-12-2003 380.7
04-12-2003 391.15
03-12-2003 404
02-12-2003 408.85
01-12-2003 397.528-11-2003 374.55
27-11-2003 374.55
26-11-2003 378.95
25-11-2003 378.95
24-11-2003 372.85
21-11-2003 373.55
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20-11-2003 381.25
19-11-2003 376.95
18-11-2003 384.25
17-11-2003 394.1
14-11-2003 385.75
13-11-2003 385.75
12-11-2003 383.35
11-11-2003 369.6
10-11-2003 370.25
07-11-2003 361.95
06-11-2003 372.85
05-11-2003 366.4
04-11-2003 368.7
03-11-2003 370.1
31-10-2003 353.1
30-10-2003 323.6
29-10-2003 303.9
28-10-2003 303.15
27-10-2003 318.1
24-10-2003 310.2
23-10-2003 310.2
22-10-2003 315.55
21-10-2003 322.1
20-10-2003 329.25
17-10-2003 329.7
16-10-2003 331.05
15-10-2003 338.85
14-10-2003 335.05
13-10-2003 333.55
10-10-2003 322.45
09-10-2003 324.7
08-10-2003 324.05
07-10-2003 325.05
06-10-2003 330.4503-10-2003 324.1
02-10-2003 310.35
01-10-2003 310.35
30-09-2003 308.65
29-09-2003 295.75
26-09-2003 294.45
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25-09-2003 286.4
24-09-2003 298.35
23-09-2003 286.95
22-09-2003 280.4
19-09-2003 281
18-09-2003 270.95
17-09-2003 280.55
16-09-2003 285.3
15-09-2003 278.6
12-09-2003 284.25
11-09-2003 287.4
10-09-2003 291.2
09-09-2003 283.6
08-09-2003 284.6
05-09-2003 287.4
04-09-2003 285.65
03-09-2003 282.8
02-09-2003 290.35
01-09-2003 292.55
29-08-2003 294.3
28-08-2003 293.3
27-08-2003 295.95
26-08-2003 291.05
25-08-2003 275
22-08-2003 278.8
21-08-2003 269.05
20-08-2003 265.2
19-08-2003 266.45
18-08-2003 269.25
15-08-2003 267.7
14-08-2003 267.7
13-08-2003 274.45
12-08-2003 276.4
11-08-2003 271.3508-08-2003 272.05
07-08-2003 269.65
06-08-2003 268.1
05-08-2003 269.9
04-08-2003 270.5
01-08-2003 273.15
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31-07-2003 266.9
30-07-2003 251.5
29-07-2003 248.05
28-07-2003 246
25-07-2003 241.85
24-07-2003 237.6
23-07-2003 239
22-07-2003 239.55
21-07-2003 245.55
18-07-2003 246.2
17-07-2003 242.25
16-07-2003 239.05
15-07-2003 263.4
14-07-2003 259.7
11-07-2003 257.5
10-07-2003 256.85
09-07-2003 254
08-07-2003 256.7
07-07-2003 256.25
04-07-2003 257.35
03-07-2003 254.6
02-07-2003 253.45
01-07-2003 251.3
30-06-2003 253.8
27-06-2003 253.1
26-06-2003 251.05
25-06-2003 245.55
24-06-2003 245
23-06-2003 240.2
20-06-2003 245.65
19-06-2003 246.4
18-06-2003 246.35
17-06-2003 251
16-06-2003 241.0513-06-2003 251.7
12-06-2003 245.6
11-06-2003 240.15
10-06-2003 237.55
09-06-2003 236.95
06-06-2003 233.9
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05-06-2003 234.2
04-06-2003 228.7
03-06-2003 229.5
02-06-2003 223.25
30-05-2003 213.55
29-05-2003 221.2
28-05-2003 221.8
27-05-2003 222.15
26-05-2003 219.05
23-05-2003 220.8
22-05-2003 222.8
21-05-2003 233.65
20-05-2003 236
19-05-2003 229.4
16-05-2003 228.45
15-05-2003 219.55
14-05-2003 219.6
13-05-2003 214.15
12-05-2003 206.05
09-05-2003 205.4
08-05-2003 209.65
07-05-2003 213.3
06-05-2003 209.7
05-05-2003 205.45
02-05-2003 205.45
01-05-2003 203.4
30-04-2003 203.4
29-04-2003 203.4
28-04-2003 196.9
25-04-2003 195.7
24-04-2003 187.95
23-04-2003 188.05
22-04-2003 183.35
21-04-2003 183.218-04-2003 186.05
17-04-2003 186.05
16-04-2003 194.2
15-04-2003 195.75
14-04-2003 206
11-04-2003 206
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10-04-2003 193
09-04-2003 183.85
08-04-2003 188.7
07-04-2003 195.05
04-04-2003 193.4
03-04-2003 194.55
02-04-2003 191.25
01-04-2003 185.95
31-03-2003 188.2
28-03-2003 196.85
27-03-2003 203.35
26-03-2003 215.55
25-03-2003 222.9
24-03-2003 225.3
21-03-2003 228.65
20-03-2003 228.65
19-03-2003 216.05
18-03-2003 222
17-03-2003 222
14-03-2003 225.8
13-03-2003 225.8
12-03-2003 219.55
11-03-2003 226.6
10-03-2003 212.8
07-03-2003 212.95
06-03-2003 223.65
05-03-2003 224.3
04-03-2003 225.15
03-03-2003 225
28-02-2003 223
27-02-2003 220.5
26-02-2003 219.1
25-02-2003 221
24-02-2003 220.3521-02-2003 220.25
20-02-2003 224.95
19-02-2003 227.05
18-02-2003 218.15
17-02-2003 213.3
14-02-2003 206.2
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13-02-2003 218.5
12-02-2003 218.5
11-02-2003 220.15
10-02-2003 231.85
07-02-2003 237.5
06-02-2003 238
05-02-2003 245.6
04-02-2003 254.6
03-02-2003 253
31-01-2003 254.95
30-01-2003 255.25
29-01-2003 249.6
28-01-2003 242.85
27-01-2003 241.3
24-01-2003 236.7
23-01-2003 238.4
22-01-2003 238.6
21-01-2003 238.2
20-01-2003 239.85
17-01-2003 245.95
16-01-2003 250
15-01-2003 247.5
14-01-2003 245.65
13-01-2003 248.15
10-01-2003 250.25
09-01-2003 249.7
08-01-2003 252.85
07-01-2003 251.75
06-01-2003 258.65
03-01-2003 262
02-01-2003 261.1
01-01-2003 261.6
31-12-2002 268.2
30-12-2002 269.3527-12-2002 269.75
26-12-2002 270.25
25-12-2002 268.4
24-12-2002 268.4
23-12-2002 273.85
20-12-2002 279.1
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19-12-2002 281.4
18-12