An Introduction to Statistical Methods and Data Analysis

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Cengage Learning, Dec 30, 2008 - Mathematics - 1296 pages
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Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a variety of disciplines who have little or no prior course work in statistics. The authors teach students to solve problems encountered in research projects, to make decisions based on data in general settings both within and beyond the university setting, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in an introductory statistics course, as well as case studies and examples that are often encountered in undergraduate capstone courses. The remaining chapters cover regression modeling and design of experiments.
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I am a graduate engineer and needed to use the multicomparision methods. The book is very suer friendly and easy to understand. I got enough help from this book and I recommend it fordepartmental liraries because it will be a good addition in the book archive.
Engr. Muhammad Rehan Adil
Lahore( Pakistan)
 

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p589, definition of high leverage point and high inflence point.

Contents

Introduction
1
Collecting Data
15
Summarizing Data
55
Analyzing Data Interpreting the Analyses and Communicating Results
221
Statistical Tables
1169
Answers to Selected Exercises
1210
References
1250
Index
1254
Copyright

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About the author (2008)

Michael Longnecker currently serves as Professor and Associate Department Head at Texas A&M University. He received his B.S. at Michigan Technological University, his first M.S. at Western Michigan University, his second M.S. at Florida State University, and his Ph.D. at Florida State University. He is interested in Nonparametrics, Statistical Process Control, and Statistical Consulting.

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