The course aims to enable students to read critically empirical literature in economics and other social sciences and to use advanced analytical statistical methods in data analysis. Topics covered include a review of descriptive statistics, sampling methods, regression theory, probability theory, statistical analysis applied to the development and control of manufacturing operations of food products and quality control. Non-parametric tests, such as chi-square, Mann-Whitney and Kruskal-Wallis tests, and quantitative techniques, such as factor analysis, discriminant analysis, and cluster are analysis are covered. This course emphasizes computer applications, data analysis and interpretation of quantitative results