For one-semester courses in Introduction to Business Statistics. The gold standard in learning Microsoft Excelfor business statistics Statistics for Managers Using Microsoft (R) Excel (R), 9th Edition, Global Edition helps students develop the knowledge of Excel needed in future careers. The authors present statistics in the context of specific business fields, and now include a full chapter on business analytics. Guided by principles set forth by ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. Current data throughout gives students valuable practice analysing the types of data they will see in their professions, and the authors' friendly writing style includes tips and learning aids throughout.

For one- or-two-semester courses in business statistics. Give students the statistical foundation to hone their analysis skills for real-world decisions Basic Business Statistics helps students see the essential role that statistics will play in their future careers by using examples drawn from all functional areas of real-world business. Guided by principles set forth by ASA's Guidelines for Assessment and Instruction (GAISE) reports and the authors' diverse teaching experiences, the text continues to innovate and improve the way this course is taught to students. The 14th Edition includes new and updated resources and tools to enhance students' understanding, and provides the best framework for learning statistical concepts.

Businesses are collecting massive amounts of data every day as a way to better understand their processes, competition, and the markets they serve. This data can be used to increase organizational productivity and performance; however, is essential that organizations collecting large data sets have the tools available to them to fully understand the data they are collecting. Organizational Productivity and Performance Measurements Using Predictive Modeling and Analytics takes a critical look at methods for enhancing an organization's operations and day-to-day activities through the effective use of data. Focusing on a variety of applications of predictive analytics within organizations of all types, this critical publication is an essential resource for business managers, data scientists, graduate-level students, and researchers.