The need for data in management. Evidence based decision making. The formulation of problems in quantitative terms. Tabular and graphical presentation (including computer assisted). Summary measures:averages, variability, skewness and kurtosis;applications inmanagement. Time series analysis and forecasting. Indices(CPI, Wage,Production). Economic and social indicators. Analysis of relationships (Correlation and Regression). Measuring and dealing with uncertainty.Simple decision making problems. Data Collection.