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113<br />

www.indianresearchjournals.com<br />

IRJC<br />

Internati<strong>on</strong>al Journal of Marketing, Financial Services & Management Research<br />

Vol.1 Issue 7, July 2012, ISSN 2277 3622<br />

has used chi-square test to test the impact of occupati<strong>on</strong> and gender <strong>on</strong> customer <strong>investment</strong><br />

decisi<strong>on</strong><br />

TABLE 4<br />

CALCULATION OF ASSOCIATION BETWEEN OCCUPATION OF RESPONDENTS<br />

AND LIFE INSURANCE INVESTMENT DECISION<br />

Occupati<strong>on</strong> Investment decisi<strong>on</strong> Total<br />

High Medium Low<br />

Govt. Service 38 22 6 66<br />

Businessman/private<br />

service<br />

18 8 2 28<br />

Professi<strong>on</strong>als 14 6 2 22<br />

Agriculture 21 9 4 34<br />

Total 91 45 14 150<br />

chi – square test (x 2 ) = (o – e)2 / e<br />

Degrees of freedom = v = (r – 1) (c -1)<br />

were,<br />

here x 2 calculated= (o – e) 2 / e= 14.09<br />

at 5% level of significance for 6 df, the calculated value of chi-square is 12.59<br />

Since the chi-square calculated > chi-square tabulated, it is c<strong>on</strong>cluded that there is a no<br />

significant associati<strong>on</strong> between occupati<strong>on</strong> and customer insurance <strong>investment</strong> decisi<strong>on</strong>. Hence<br />

occupati<strong>on</strong> does not influence the customer life policy buying decisi<strong>on</strong>.

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