# Table 1: Profile of Consumer Particulars Classification Numbers Percentage Upto Age. 21 to Above

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3 Out of 60 consumers taken for the study, 41.67% belong to the age group up to 20 years, 60% of the consumers are female. As regards educational qualification 36.67% are under graduate level and 33.33% are employed and 41.67% of the consumer recorded monthly income of Rs to Rs Table 2: Brand Prefered Brand of Washing Machine Numbers Percentage LG Samsung Bosch Whirlpool IFB Source: Primary Data Table 2 shows that 20(33.33%) consumers prefer LG, 15 (25%) consumer prefer Samsung; 12(20.00%) prefer Bosch; 8(13.33%) prefer Whirlpool and five (8.34%) prefer IFB. Table 3: Factors Influencing Consumer Buying Behavior Factors Numbers Percentage Brand Loyalty Price Quality Guarantee/ Warrantee Durability Table 3 shows that 22(36.67%) consumer are influenced by brand loyalty; 12(20.00%) consumers are influenced by price; 11(18.33%) consumers are influenced by quality; 8(13.33%) consumers are influenced by Guarantee and Warrantee and only 7(11.67%) are influenced by durability. Chi-Square Test For the purpose of the analysis chi-square test was used to find out whether there is any significant relationship between dependent variables viz., level of satisfaction and independent variables likes sex, age, educational qualification, occupation, family size and income of the respondents. The following formula was applied for calculating the chi-square (x 2 ) test. X 2 = (O E) E Where, = observed frequency E = expected frequency Row total column total E = Grand total If the calculated value is greater than the table value at 5 percent level of significance, it is concluded that there is a significant relationship between the level of satisfaction of the respondents and that of independent variables. If calculated value is less than the table value, it is concluded that independent variable has no significant relationship in the level of satisfaction of the respondents Factors Influencing the An attempt has been made to study the factors influencing the level of satisfaction of the consumers. Demographic characteristics such as sex, age, education, occupation, income and family size are the important elements to be considered in measuring the attitudes of consumers. Thus in order to measure the attributes of consumers, they are classified based on their demographic characteristics. Table 4: Age and of Consumer AGE Upto 20 years to Above Hypothesis = Age do not influence the level of satisfaction ~ 282 ~

4 Age and of Consumer Table 4 reveals the Age wise classification of the consumer and their level of satisfaction. Table 4.1: Chi-Square Calculation R1C R2C R3C R1C R2C R3C R1C R2C R3C R1C R2C R3C R1C R2C R3C Degree of freedom=(r-1)*(c-1) =(3-1)*(5-1)=2*3=8 The tabulated value of chi square at 12 degrees of freedom on.05 level of significance is Since the calculated value is less than the table value of 15.5, the hypothesis is accepted. Gender and of Consumer Table 5: Gender and of Consumer Gender Male Female Hypothesis: Gender do not influence the level of satisfaction. Table 5.1: Chi-Square Calculation R1C R2C R1C R2C R1C R2C R1C R2C R1C R2C Degree of freedom=(r-1)*(c-1) =(2-1)*(5-1)=1*4=4 The tabulated value of chi square at 12 degrees of freedom on.05 level of significance is Since the calculated value is less than the table value of 9.49, the hypothesis is accepted. Educational Qualification and of Consumer Table 6: Educational Qualification and of Consumer Educational Qualification Highly Highly Dis Satisfied Medium Dissatisfied Satisfied satisfied HSC UG PG Others Hypothesis: Educational qualifications do not influence the level of satisfaction. ~ 283 ~

5 Table 6.1: Chi-Square Calculation R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C Degree of freedom=(r-1)*(c-1) =(4-1)*(5-1)=3*4=12 The tabulated value of chi square at 12 degrees of freedom on.05 level of significance is Since the calculated value is less than table value of , the hypothesis is accepted. Marital Status and of Consumer Table 7: Marital Status and of Consumer Marital Status Highly Highly Dis Satisfied Medium Dissatisfied Satisfied satisfied Unmarried Married Hypothesis: Marital status do not influence the level of satisfaction. Table 7.1: Chi-Square Calculation R1C R2C R1C R2C R1C R2C R1C R2C R1C R2C Degree of freedom=(c-1)*(r-1) =(2-1)*(5-1)=1*4=4 The tabulated value of chi square at 12 degrees of freedom on.05 level of significance is 9.49 Since the calculated value is less than table value of 9.49, the hypothesis is accepted. Occupation and of Consumer Table 8: Occupation and of Consumer Occupation Employment Business Agriculture Others Hypothesis: Occupation do not influence the level of satisfaction. ~ 284 ~

6 Table 8.1: Chi-Square Calculation R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C Degree of freedom=(r-1)*(c-1) =(4-1)*(5-1)=3*4=12 The tabulated value of chi square at 12 degrees of freedom on.05 level of significance is 21.0 Since the calculated value 9.17 is less than table value of 21.0, the hypothesis is accepted. Income and of Consumer Table 9: Income and of Consumer Income Below to to Above Hypothesis: Income do not influence the level of satisfaction. Table 9.1: Chi-Square Calculation R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C R1C R2C R3C R4C Degree of freedom=(c-1)*(r-1) =(5-1)*(4-1)=4*3=12 The tabulated value of chi square at 12 degrees of freedom on.05 level of significance is Since the calculated value is less than table value of , the hypothesis is accepted. ~ 285 ~

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