Impact of Cluster Networking on MSME Women Entrepreneurs Performance in Tamilnadu

Abstract

This means that subjects are chosen in a nonrandom manner, and some members of the population have no chance of being included. With non-probability sampling, researchers have no way of calculating how well their sample represents the population as a whole. In general, probability sampling is considered to be more stringent and accurate than non-probability sampling, but it is not always feasible. The method of data collection adopted for the study is Primary data. The Primary data collected, is though questionnaire, which was collected from individuals from the study area. The Primary data was collected for the present study by issuing questionnaire to the traders; this was Pre – tested by conducting a pilot study through which primary data was collected from different traders in Madurai. The Statistical Package used for this study is SPSS17 and MS Excel 2007. The data collected are classified, analysis and tabulated. The Statistical tools are applied for the analysis of the data. The tools used are: percentage analysis, t-test, one way Anova and chi-square. The findings are the t-test shows that there is a relationship between marketing-cum-finished goods storage depots and overall satisfaction of grains cluster, Chi-square test result shows that there is a relationship between warehouse and overall satisfaction of grains cluster, Chi-square test result shows that there is a relationship between drying yard with dryers and overall satisfaction of grains cluster.