This book focuses on the need for training in managerial economics to be more responsive to the presence of uncertainty surrounding managerial decisions. Students and managers need to be better able to recognize and cope with both epistemic and aleatory uncertainty in managerial decisions.  This is accomplished through both an understanding of the concept of robustness in epistemic models and the application of higher level statistical tools than what are currently found in the competing books.  This book is completely self-contained with regard to these departures from what is typically found in other books on managerial economics.  The mathematical and statistical approach of microeconomic provides the opportunity for quantitative methods to illustrate and clarify the underlying fundamental logic of problem solving as well as provides students and managers with an additional chance to enhance their understanding of the managerial science and art.  As calculators and computers get more sophisticated and become widely and readily available, the need to reemphasize the traditional technical analysis becomes stronger.  This approach also helps to solidify the comprehension of how the theory works, which is a fundamental intellectual aspect of learning that should not be lost to the advances in computers, no matter how the latter is essential in our academic life.  Topical coverage includes methodological and mathematical fundamentals; decisions at the consumer, firm, and market levels; decision and risk analysis; and decisions under uncertainty.