This course provides an introduction to the fundamental concepts of applied statistics. Topics covered include design of observational studies, industrial simulation, randomness, distribution functions, conditional probabilities; derivation of common discrete distributions; sampling, regression and correlation analysis, curve fitting, chi-square analysis, test of significance; expectation operator; statistics as random variables, point and interval estimation; maximum likelihood estimators; properties of estimators.