Statistics

Statistics PDF

Author: Michael Sullivan

Publisher: Pearson Education

Published: 2013

Total Pages: 0

ISBN-13: 9780321757272

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Michael Sullivan's Statistics: Informed Decisions Using Data, Fourth Edition, connects statistical concepts to students' lives, helping them to think critically, become informed consumers, and make better decisions. Throughout the book, "Putting It Together" features help students visualize the relationships among various statistical concepts. This feature extends to the exercises, providing a consistent vision of the bigger picture of statistics. This book follows the Guidelines for Assessment and Instruction in Statistics Education (GAISE), as recommended by the American Statistical Association, and emphasizes statistical literacy, use of real data and technology, conceptual understanding, and active learning.

Statistics

Statistics PDF

Author: Nancy S. Boudreau

Publisher: Prentice Hall

Published: 1999-09

Total Pages: 348

ISBN-13: 9780130225603

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Student Solutions Manual for Introductory Statistics

Student Solutions Manual for Introductory Statistics PDF

Author: Sheldon M. Ross

Publisher: Academic Press

Published: 2005-10-11

Total Pages: 0

ISBN-13: 9780120885510

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This handy supplement shows students how to come to the answers shown in the back of the text. It includes solutions to all of the odd numbered exercises. The text itself: In this second edition, master expositor Sheldon Ross has produced a unique work in introductory statistics. 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.