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The research uses the SPSS10.0 statistics software to tabulate the variations of data of local population including age, monthly income and other variables in narrative format. For example, the allocation times and normal jargon standard are used to study the various distribution of conditions. Then, we will use Pearson's relative accreditation to confirm the actual environment facilities, staff performance and the overall satisfaction degree. In addition to the above, the customers' satisfaction, nomination from customers, customers' gaining rewards and customers' loyalty are also of paramount importance. In deducing the part of statistic information, the step-by-step retrospection analysis is put in full use. In the midst of the process, we can conclude the realistic facilities of environment and how the staff performance influencing consumers' overall satisfaction in forecasting ability. Eventually, the step-by-step retrospection analysis checks the virtual environmental facilities while the staff performance affecting different aspects of degree of customers' satisfcation. Again it passes through the single cell variation analysis and T-check to understand the variance between different groups of customers and the characteristics of different customers' grouping.