Global Journal of Human Social Science, H: Interdisciplinary, Volume 22 Issue 7

The variation in the Product Quality-(factor of purchase) of Agribusiness Products and Age of Respondents is defined in hypothesis-1, taken up and its results are shown in table-2 as an outcome of one way ANOVA model conceptualized. From the details provided in table-2, it can be inferred that the variations in the quality of a product between Age group of 25-34 and 45-55 are found to be significant at 5 percent level, similarly the variations in the quality of a product between Age group of 25-34 and 55 & above are found to be significant at 5 percent level. Also, the variations in the quality of a product between Age group of 35-44 and 45-55 are found to be significant at 5 percent level, while as the variations in the quality of a product between Age group of 35-44 and 55 & above are also found to be significant at 5 percent level. However, the variations in the quality of a product between Age group of 25-34 and 35-44 are not found to be significant at 5 percent level, similarly the variations in the quality of a product between Age group of 45-55 and 55 & above are found to be significant at 5 percent level. a) Table-3: Results of ANOVA for hypothesis-1 ANOVA Sum of Squares df Mean Square F Sig. Brand Name Between Groups 8.240 3 2.747 1.630 0.186 Within Groups 195.460 116 1.685 Total 203.700 119 Multiple Comparisons LSD Dependent Variable (I) Age (J) Age Mean Difference (I-J) Std. Error Sig. Brand Name 25-34 35-44 -.143 .325 0.661 45-55 -.191 .313 0.543 55 & above -.772 * .360 0.034 35-44 25-34 .143 .325 0.661 45-55 -.048 .323 0.883 55 & above -.629 .369 0.091 45-55 25-34 .191 .313 0.543 35-44 .048 .323 0.883 55 & above -.581 .358 0.108 55 & above 25-34 .772 * .360 0.034 35-44 .629 .369 0.091 45-55 .581 .358 0.108 Computed from Primary Data Note: *Significance level 0.05 Source: Authors’ estimation The variation in the Brand Name -(factor of purchase) of Agribusiness Products and Age of Respondents is defined in hypothesis-2, taken up and its results are shown in table-3 as an outcome of one way ANOVA model conceptualized. Age group of respondents was categorized into four groups such as 25-34, 35-44, 45-55 and 55 & above for identifying variations in Company’s name that influence respondents Brand Name -(factor of purchase). From the results of this one way ANOVA model as shown in table-1, it can be inferred that the F value of 1.630 corresponding to Brand Name that influence respondents Brand Name -(factor of purchase) decision between different Age groups of respondents such as 25-34, 35-44, 45-55 and 55 & above are not found to be significant at 5 percent level. Hence hypothesis-2 is accepted at 5 percent level of significance. This result clearly shows that there are no significant variations between different Age group of respondents and Company’s name that influence respondents Brand Name - (factor of purchase). Agribusiness Entrepreneurs and their Market Share © 2022 Global Journals Volume XXII Issue VII Version I 41 ( ) Global Journal of Human Social Science - Year 2022 H