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Table-4: Average Ranking of benefit factors acquired through investing inPvt. Life Insurance Policy – Personal factorsGenderAge GroupEducationOccupationIncome per monthMarital StatusFamily TypeEarning MembersFamily Size% BonusTaxSavingsFamilyProtectionMale 68 1 16 51Female 32 0 10 22Below 25 13 0 1 1225 to 50 78 1 20 57Above 50 9 0 5 4School 13 0 0 13College 51 0 11 40Professional 36 1 15 20Agriculture 12 0 0 12Business 23 1 6 16Employed 50 0 8 42Professional 15 0 12 3Below 10000 9 0 0 910000 to 20000 27 0 6 2120000 to 30000 31 0 4 27Above 30000 33 1 16 16Single 29 0 2 27Married 71 1 24 46Joint Family 40 0 11 29Nuclear Family 60 1 15 441 19 0 3 162 78 1 22 553 3 0 1 23 36 0 14 224 48 1 10 37>=5 16 0 2 14[ 84 ] Rai Management Journal
The Percentage Rank Analysis isapplied to identify the priority of therespondents on the various aspectsconsidered in the study. It isunderstood from CHART NO 1 thatrespondent have given 1st rank forfamily protection which they considerto be the highest priority among theother factors like saving, tax relief,critical illness, etc. The table <strong>No</strong>1clearly indicates that majority of thepersonal factors of the respondentshave ranked savings as 1st rank whileinvesting in private investing inprivate insurance company, followedby high security, tax savings andfamily protection.Objective-2:To study the awareness of thecustomers about the private healthinsurance companies.Thestatistical tools used to analyze arePercentage Analysis, Chi-squareanalysis, Average Score analysis andAverage rank Analysis. The resultsare in the form of tables with suitableinterpretations.Awareness of the respondentsBased on the Percentage Analysis thefollowing are the outcome among the15 private Insurance Companies,• Respondents (62%) are fully awareof Bajaj Allianz InsuranceCompany, (25%) ICICI Lombard,(4%) Max New York. Theremaining per cent of therespondents are not aware ofApollo DKV, Aviva, Tata AIG,Birla SunLife, HSBC HealthInsurance etc.• Respondents (70%) have shownawareness of private companiesthrough advertisement especiallythrough newspapers andmagazines.Based on the Chi-square analysis, theoutcome is as follows:Chi-square test is used to test whethera variable has a significant influenceover the other. For this purpose, thefactors considered in the study areclassified into two groups. The firstgroup contains personal factorsnamely gender, age, education,occupational status, income level,marital status, family type, earningnumber, family size. The second groupcontains variables for analysisnamely, Source of awareness andpurpose of taking a policy. Each of thepersonal factors is compared with thestudy factors and chi-square test isapplied and the results are given inthe following tables with suitableinterpretations.Based on the purpose of the followinghypotheses are formulated.Hypotheses: The personal factors ofthe respondents have no significantinfluence over each of the studyfactors.It is clear from table-5 that age,income level, marital status andearning member have significant oversource of awareness. Family type andearning member of the respondent hasa significant influence of over themedia. Family type has significantinfluence on the purpose of taking aDecember 2010 Vol. 7, Issue 2[ 85 ]
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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
Page 35 and 36: REFERENCESBOOKS -• Cloe, E. Kenne
Page 37 and 38: sations moving forward?In order to
Page 39 and 40: When studying the essentials of ano
Page 41 and 42: The effectiveness of the currentmot
Page 43 and 44: Fig.3: Ranking of Motivational Fact
Page 46 and 47: It seems clear thatIndian organisat
Page 48 and 49: • Kumar, N. (2001) Soft Ware Indu
Page 51 and 52: table 1. On an average, restaurants
Page 53 and 54: is also a major factor which effect
Page 55 and 56: careful analysis of the market ands
Page 57 and 58: Table 5: Size of the restaurants in
Page 59 and 60: Table 12: Strategy for promoting re
Page 62 and 63: ...there will be atextile boom inIn
Page 64 and 65: apparel industry, be it export ordo
Page 67 and 68: It is clear from table 5 that solep
Page 69 and 70: Table 8: Ranking of various problem
Page 71 and 72: It is evident from table 10 that th
Page 73 and 74: Table 12 shows that the respondents
Page 75 and 76: to more than 100 countries worldwid
Page 77 and 78: An Empirical Study on Indian Health
Page 79 and 80: Table-1: Gross Premium from Busines
Page 81 and 82: On August 15, 2007, the PrimeMinist
Page 83 and 84: data collected from the respondents
Page 85: Profile, purpose and investingpract
Page 89 and 90: Based on the Average PercentageAnal
Page 91 and 92: OBJECTIVE-3:To study the factors th
Page 93 and 94: FUTURE CHANGEEXPECTEDAt present whe
Page 95 and 96: Random walks in stock market prices
Page 97 and 98: eported forsome indices.Kok and Lee
Page 99 and 100: SAMPLEFrom the list of Oil and Gas
Page 101 and 102: • Barnes, P. (1986) Thin trading
Page 103 and 104: Thus, this paper has incorporateddi
Page 105 and 106: hypotheses of the information conte
Page 107 and 108: The present study addresses itsobje
Page 109 and 110: Deviations are similarly compared i
Page 111 and 112: The remaining banks did not show an
Page 113 and 114: at this time the Telecom sector had
Page 115 and 116: 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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eduction, indicating that the decli
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Rs.10000 to Rs.20000 prefer maligai
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Table 6: Reason for purchasing at a
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Table 9: Monthly income and frequen
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Once “time spent” by the users
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Out of 200 respondents 111responden
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etail stores are facing.VII. PREFER
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From table 22 it can be inferred th
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Role of Relationship in Pharmaceuti
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Wholesaler, animportantmiddleman fo
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... a medicalrepresentative needsto
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ole in selling the products. And74(
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On the Basis ofQualificationOut of
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Figure 7Figure 8[ 160 ] Rai Managem
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Empirical Study On PerformanceMeasu
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these non- productive assets wasalm
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Tools for Analysis:First of all the
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... the commonstrength of theplasti
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adversely. Thus the common problems
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• Nimbalkar .B. Chairman & Managi
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Customersatisfaction and theservice
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The tourismindustry of Indiahas exp
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The hotel industryof India is one o
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Reichheld and sche(2000) embracedth
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Customersatisfaction is verycrucial
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2010 and 2020 respectively whichcal
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• Zineldin, m. (1999), ``explorin
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RNI NO.: DELENG/2004/12383Printed a
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