Better Business Decisions^1.0

More and more organizations around the globe are expecting professionals to make objective decisions using relevant supporting data, so employees, team leaders, managers, and executives that think “quantitatively” should be in high demand.

Our textbook, “Using Statistics for Better Business Decisions”, helps beginners understand the important role statistics play in business and build strong information gathering, organizing, and analyzing skills to help them make more effective decisions. Rather than simply recording figures, a decision maker can implement strategies to apply the statistics they gather to their problems and goals. We teach managers and business owners to think quantitatively, to use Excel to its fullest for statistics and strategies, and to communicate facts and ideas based on their findings to key stakeholders.

The book uses descriptions of two fictitious companies to provide readers with realistic and actionable examples on how to best manage statistics. The “businesses” encounter a series of problems and demonstrate how managers would use concepts from the book to solve their problems.

*This book does not require readers to have prior statistical training

*All computations will be completed using Microsoft Excel

Dr. Justin Bateh is a Professor in the School of Business and Professional Studies at Florida State College at Jacksonville, where he teaches management, operations, and statistics courses. He received a doctorate in business administration from Walden University. Following his doctoral studies he pursued post-graduate specializations from Penn State University in applied statistics and from the University of Arkansas in operations management. His research interests are focused on the appropriate use of statistical methods and quantitative approaches to problems in organizational management and leadership. Dr. Bateh believes that organizations are seeking professionals that have the ability to identify a problem and objective, apply theoretical concepts to solving the problem, identify who the key stakeholders are, and present conclusions and recommendations to key stakeholders in a clear and concise manner.

Dr. Bert G. Wachsmuth, Associate Professor of Mathematics and Computer Science at Seton Hall University, received his PhD from Indiana University, where he worked on problems related to the Monge Ampère Equation in several complex variables. In addition to pursuing a rigorous research program, Dr. Wachsmuth is an avid programmer and he is currently interested - aside from mathematics - in robotics, small device programming, and technology applications in teaching and learning. He has also developed an open-source online survey system and evaluation tool that is widely used to help institutions and organizations manage and deliver surveys and analyze their results. He has taught classes in calculus, statistics, real analysis, complex analysis, programming, computer networks, unix, and robotics, and - still - enjoys teaching and interacting with students tremendously.