Applied Statistics For Business And Management Using Microsoft Excel

Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

This book illustrates the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. The 2nd edition of Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

Gerald Keller's new APPLIED STATISTICS WITH MICROSOFT® EXCEL integrates Excel into the general introductory statistics course. Keller, the co-author of the market-leading STATISTICS FOR MANAGEMENT AND ECONOMICS, Fifth Edition, incorporates his proven three-step problem-solving process throughout this book. The first step, "Identify," is the work a statistician does before the calculations are performed, which entails organizing the experiment, gathering the data, and deciding which statistical techniques to employ. The second step, "Compute," is the computation with Excel. In this step, Keller shows the manual calculation for the simplest of techniques only. For example, he describes how to calculate the sample mean, variance, and standard deviation, how to compute the z-interval estimate of, and the z-test of. The third step, "Interpret," is the interpretation of the computer output, which requires an understanding of statistical concepts.

For a one- or two-term course in Business Statistics at the undergraduate or graduate level. Thoroughly integrating the use of Microsoft Excel, this streamlined text on business statistics uses an applied approach that focuses on the concepts and applications of statistics to the functional areas of business-accounting, marketing, management, and economics and finance. Revised to increase the emphasis on concepts and applications and to more seamlessly integrate coverage on Microsoft Excel, it offers detailed, step-by-step explanations on the use of Microsoft Excel to perform statistical analysis on every topic covered in the book and integrates numerous illustrations of Excel output and dialog boxes.

Develop a strong conceptual understanding of statistics as ESSENTIALS OF MODERN BUSINESS STATISTICS WITH MICROSOFT OFFICE EXCEL, 8E balances real-world applications with an integrated focus on the latest version of Microsoft Excel. This best-selling, essentials edition clearly develops each statistical technique in an application setting. You learn to master statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel 2019 to perform the procedure. Step-by-step instructions and screen captures ensure understanding. More than 140 new business examples, proven methods, and application exercises show how statistics provide insights into today's business decisions and problems. A unique problem-scenario approach and new case problems demonstrate how to apply statistical methods to practical business situations. MindTap digital resources provide tools to help you master Excel, Excel Online, and R as well as gain an understanding of business statistics.

Develop a strong conceptual understanding of statistics and its importance in business today. MODERN BUSINESS STATISTICS WITH MICROSOFT OFFICE EXCEL, 7E balances real-world applications with an integrated focus on the latest version of Microsoft Excel. This best-selling, comprehensive edition clearly develops each statistical technique in an application setting. You master statistical methodology with an easy-to-follow presentation of a statistical procedure followed by a discussion of how to use Excel to perform the procedure. Step-by-step instructions and screen images reinforce understanding. More than 160 new business examples, proven methods, and application exercises show how statistics provide insights into business decisions and problems. A problem-scenario approach emphasizes how to apply statistical methods to practical business situations. New case problems let you check your understanding, while MindTap digital resources help you master Excel, Excel Online, and R.