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Although a wealth of college textbooks in Introductory Statistics is currently available, Ross' book stands out as a unique accomplishment in this category. The text's main merits are the clarity of presentation, examples and applications from diverse areas, and most importantly, an explanation of intuition and ideas behind the statistical methods. To quote from the preface, "it is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data." Consistent with his other excellent books in Probability and Stochastic Modeling, Ross achieves this goal through a coherent mix of mathematical analysis, intuitive discussions and examples.
* Ross's clear writing style leads students easily through descriptive and inferential statistics
* Hundreds of exercises assess students' conceptual and computational understanding
* Real data sets from current issues draw from a variety of disciplines
* Statistics in Perspective highlights demonstrate real-world application of techniques and concepts
* Historical Perspectives sections profile prominent statisticians and events
* Chapter Introductions pose realistic statistical situations
* Chapter Summaries and Key Terms reinforce learning
* A detachable Formula Card includes frequently used tables and formulas to facilitate studying
* Enclosed CD-ROM contains programs that can be used to solve basic computation problems
New in this Edition:
* Dozens of new and updated examples and exercises
* New sections on: assessing the linear regression model by analyzing residuals; quality control; counting principles; Poisson random variables
* Detailed edits and enhancements based on users' feedback
* A computerized test bank, plus updates to other ancillaries
* Instructor's Manual
* Student Solutions Manual (ISBN: 0120885514)
* Printed Test Bank
* Computerized Test Bank
* Instructor’s web site with additional online materials
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An excellent balance between basic skills and applications, with real-world data adding to its overall appeal.About the Author:
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, and a recipient of the Humboldt US Senior Scientist Award.
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