Noted for its integration of real-world data and case studies, this guide offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing the calculus that readers have already mastered. Presents standard statistical techniques in a mathematical context, allowing the reader to see the underlying hypotheses for the applications. Uses case studies and practical worked-out examples to motivate statistical reasoning and demonstrate the application of statistical methods to a wide variety of real-world situations. Discusses practical problems in the application of the ideas covered in each chapter, as well as common misunderstandings or faulty approaches. Revised Minitab sections now conform to the Version 14, the latest release. For anyone interested in learning more about mathematical statistics.
Author(s): Richard J. Larsen, Morris L. Marx
Edition: 4
Publisher: Prentice Hall
Year: 2005
Language: English
Pages: 928
Book Cover......Page 1
Title Page......Page 2
TABLE OF CONTENTS......Page 4
Preface......Page 8
1 Introduction......Page 10
2 Probability......Page 30
3 Random Variables......Page 137
4 Special Distributions......Page 283
5 Estimation......Page 350
6 Hypothesis Testing......Page 434
7 The Normal Distribution......Page 476
8 Types of Data: A Brief Overview......Page 529
9 Two-Sample Problems......Page 560
10 Goodness-of-Fit Tests......Page 605
11 Regression......Page 653
12 The Analysis of Variance......Page 739
13 Randomized Block Designs......Page 779
14 Nonparametric Statistics......Page 809
Appendix Statistical Tables......Page 857
Answers to Selected Odd-Numbered Questions......Page 883
Bibliography......Page 914
INDEX......Page 922
