This course provides the quantitative analytical techniques and models necessary for managerial decision making: problem-solving and the decision-making process, quantitative analysis and decision analysis, linear programming, Study variables and their measures, desired sample size and sampling techniques, validity and reliability tests, multi-criteria decision analysis, forecasting, networks and project management, inventory models, queuing models, simulation models. Descriptive and inferential statistics will be discussed: numerical descriptive measures, normal distribution, confidence interval, estimation of the population mean, and hypothesis testing (t-test, one-way analysis of variance, chi-square, correlation coefficients, multiple regression analysis).