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Tools for Analysis:First of all the filled up scales werescreened for completeness and theonce in which responses to all thestatements were complete, it wasselected for analysis. The incompletescales were rejected at this stage.Only after that all the responses werescored and tabulated.Dimension Null hypothesis.Null hypothesis H0 (1) There issignificance difference withinindustrial sector at different locationsPlastic IndustryH001I,B: There is no significantdifference in the efficiency of plasticindustry located at Indore andBhopal.Hoo2I,G: There is no significantdifference in the efficiency of plasticindustry located at Indore andGwalior.Hoo3I,J: There is no significantdifference in the efficiency of plasticindustry located at Indore andJabalpur.Ho04B,G: There is no significantdifference in the efficiency of plasticindustry located at Bhopal andGwalior.Ho05B,J: There is no significantdifference in the efficiency of plasticindustry located at Bhopal andJabelpurHo06J,G: There is no significantdifference in the efficiency of plasticindustry located at Jabelpur andGwalior1) Null hypothese is rejected i.ethere is significant difference inefficiency of plastic industrybetween Indore and Bhopal. Thisconfirms that location influencesthe efficiency of electricalindustry. (t=2.92)2) Null hypothese is rejected i.ethere is significant difference inefficiency of plastic industry atIndore and Gwalior. Thisconfirms that location influencesthe efficiency of electricalindustry (t=3.82)3) Null hypotheses of H009,andH010 is accepted i.e there is nosignificant difference in efficiencyof plastic industry betweenIndore-Jabelpur and Bhopal-Gwalior.4) Null hypotheses of H011 andH012is rejected i.e there issignificant difference in efficiencyof plastic industry betweenBhopal – Jabalpur and Gwalior –Jabelpur. This confirms thatlocation influences the efficiencyof Plastic industry. (t=2.04,2.995)Analyzing the contributingfactors of Plastic IndustryThe study describes the results of t-test applied between the mean scoresobtained for each unit under study.The result were tabulated andpresented separately for eachdimension along with theexplanations. The Summary of[ 166 ] Rai Management Journal
dimension-wise and unit- wise resultswere presented along with theirgraphical presentations to provideexplicit comparison of dimensions ofdifferent sectors and location withdifferent factors. The research studyhas evaluated the performance ofPlastic Industry on different factorscontributing to its health. The firststep was taken to analyze the impactof the region on the sample industry.The result indicates that all the fourregions under study were significantlydifferent in terms of their overallefficiency.The results of t – test for the meanscores of plastic industry located atfour regions are depicted in table.It is evident from the table 1 that thet-ratio for the mean performance ofPlastic industry located at Indore issignificantly different from thoselocated at Bhopal and Gwalior but itdoes not differ significantly from thoselocated at Jabalpur. Thus, the Plasticindustries located at Indore differsignificantly in term of thereperformance from those located atBhopal and Gwalior, while standsimilar in term of their performancewith those located at Jabelpur.Further, the value of meanperformance shown in fig 1 indicatesthat plastic industries located atGwalior stand best in terms ofperformance with the mean score of241.17 followed by Bhopal with themean score of 237.50, Jabelpur withthe mean score of 221.17 where asplastic industry located at Indorestand lowest in terms of performancewith the mean score of 203.83.The common factors in Plasticindustry at four location of M.P.In the present study, variables likedelay in plant and machineryinstallation, late fund release andnon-availability of technicians, timeoverrun, disruption in productionschedule plans, plant suppliertechnology and working capitalmanagement were found to be thecommon elements affecting theTable 1: t –ratio for plastic industry located at four regions:Indore Bhopal Gwalior JabalpurMean 203.83 237.50 241.17 221.17SD 18.74LocationComputed ‘t’ valueIndore - -2.91 -3.82 -1.97Bhopal - - -.522 2.04Gwalior - - 2.995Jabalpur - - -December 2010 Vol. 7, Issue 2[ 167 ]
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RaiManagementJournalAn Initiative o
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From the Editor’s DeskIt gives me
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Training Delivery and Methodology i
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The work force ofan organizationbec
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Choice of trainingand delivery meth
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Research studies ofmemory following
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Table -3: Perception of employees r
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Reference• Bhatia, S.K (1989).
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celebrity. Keeping these two things
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Figure IIFigure IIIDecember 2010 Vo
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• The Pepsi Campaign after theInd
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Table showing PERCENTAGE OF FAMILIA
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NAMETable showing PERCENTAGE OF Q-S
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and Irfan Pathan have beenranked at
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REFERENCESBOOKS -• Cloe, E. Kenne
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sations moving forward?In order to
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When studying the essentials of ano
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The effectiveness of the currentmot
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Fig.3: Ranking of Motivational Fact
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It seems clear thatIndian organisat
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• Kumar, N. (2001) Soft Ware Indu
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table 1. On an average, restaurants
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is also a major factor which effect
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careful analysis of the market ands
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Table 5: Size of the restaurants in
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Table 12: Strategy for promoting re
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...there will be atextile boom inIn
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apparel industry, be it export ordo
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It is clear from table 5 that solep
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Table 8: Ranking of various problem
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It is evident from table 10 that th
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Table 12 shows that the respondents
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to more than 100 countries worldwid
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An Empirical Study on Indian Health
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Table-1: Gross Premium from Busines
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On August 15, 2007, the PrimeMinist
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data collected from the respondents
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Profile, purpose and investingpract
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The Percentage Rank Analysis isappl
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Based on the Average PercentageAnal
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OBJECTIVE-3:To study the factors th
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FUTURE CHANGEEXPECTEDAt present whe
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Random walks in stock market prices
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eported forsome indices.Kok and Lee
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SAMPLEFrom the list of Oil and Gas
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• Barnes, P. (1986) Thin trading
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Thus, this paper has incorporateddi
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hypotheses of the information conte
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The present study addresses itsobje
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Deviations are similarly compared i
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The remaining banks did not show an
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at this time the Telecom sector had
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constant dividend every year on the
Page 118 and 119: Organized retail canbe defined as a
Page 120 and 121: In the midst of the unorganised ret
Page 122 and 123: convenience are some of majorattrib
Page 124 and 125: STATISTICAL ANALYSESThe 475 usable
Page 126 and 127: The Table 4 gives the 6 extracted f
Page 128 and 129: The most significant factor thatdet
Page 130 and 131: • Mulhern, F., and Leone, R., 199
Page 132 and 133: carefully/exactly identified group
Page 134 and 135: interaction effects. Variations in
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Page 138 and 139: Rs.10000 to Rs.20000 prefer maligai
Page 140 and 141: Table 6: Reason for purchasing at a
Page 142 and 143: Table 9: Monthly income and frequen
Page 144 and 145: Once “time spent” by the users
Page 146 and 147: Out of 200 respondents 111responden
Page 148 and 149: etail stores are facing.VII. PREFER
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Page 152 and 153: Role of Relationship in Pharmaceuti
Page 154 and 155: Wholesaler, animportantmiddleman fo
Page 156 and 157: ... a medicalrepresentative needsto
Page 158 and 159: ole in selling the products. And74(
Page 160 and 161: On the Basis ofQualificationOut of
Page 162 and 163: Figure 7Figure 8[ 160 ] Rai Managem
Page 164 and 165: Empirical Study On PerformanceMeasu
Page 166 and 167: these non- productive assets wasalm
Page 170 and 171: ... the commonstrength of theplasti
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Page 174 and 175: • Nimbalkar .B. Chairman & Managi
Page 176 and 177: Customersatisfaction and theservice
Page 178 and 179: The tourismindustry of Indiahas exp
Page 180 and 181: The hotel industryof India is one o
Page 182 and 183: Reichheld and sche(2000) embracedth
Page 184 and 185: Customersatisfaction is verycrucial
Page 186 and 187: 2010 and 2020 respectively whichcal
Page 188 and 189: • Zineldin, m. (1999), ``explorin
Page 190: RNI NO.: DELENG/2004/12383Printed a
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