Synopsis
Focusing on the analysis of data using modern statistical and spreadsheet software, Hildebrand and Ott emphasize making sense of data and discuss not only how a statistical method is applied, but why and why not. Throughout the book, the authors integrate computer use into the development of statistical concepts, emphasizing the value of looking at data to make sure the right questions are being asked. The real-life applications and examples throughout challenge students to think like managers. The case that concludes every chapter asks students to deal with a relatively unstructured situation and to explain the statistical reasoning in nontechnical language. Modern statistical methods, including resampling and bootstrapping are included. In addition, the authors emphasize quality control and improvement throughout the book and include three full chapters on regression and correlation methods.
"synopsis" may belong to another edition of this title.
Synopsis
This edition covers modern statistical techniques. It emphasizes the selection of methods and the critical interpretation of results, rather than computation. Several computer simulations of the performance of various statistical methods under many different conditions are presented. A significant emphasis is placed on graphical and exploratory methods, including stem-and-leaf displays and boxplots. Brief case studies have been added at the end of each chapter. There are numerous exercises, many of them computer-based.
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