Financing Agricultural Products: A Statistical Approach in sales data inside of a Brazilian State

Abstract

The work aims to present statistical data analysis on the sale of financing agricultural products in the regions of Vale do Paraíba, North Coast, and Alto do Tietê in the interior of São Paulo State, Brazil, obtained from agencies located in that regions, to analyze the best-selling products, and to understand the impacts that these regions have on the demand of agricultural producers. The data were collected from agents who participate in the National Rural Credit System through the National Agriculture Strengthening Program (PRONAF). The collected data were organized with the Excel® spreadsheet editor and analyzed using t-test and analysis of variance (ANOVA), to validate the null hypothesis which states that the sales volume was the same independent of the studied region. The results showed variation in sales numbers by region and they were discussed, and recommendations for future works were presented.