An Introduction to Statistical Methods and Data Analysis (7th Edition) – PDF

eBook details

  • Authors: R. Lyman Ott, Micheal T. Longnecker
  • File Size: 14 MB
  • Format: PDF
  • Length: 1296 pages
  • Publisher: Cengage Learning; 7th edition
  • Publication Date: June 11, 2015
  • Language: English
  • ISBN-10: 1305269470
  • ISBN-13: 9781305269477


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About The Author

Micheal T. Longnecker

R. Lyman Ott

R. Lyman Ott

Dr. R. Lyman Ott got his Bachelor's degree in Mathematics and Education and Master's degree in Mathematics from Bucknell University, and Ph.D. in Statistics from the Virginia Polytechnic Institute. After 2 years working in statistics in the pharmaceutical industry, Lyman became an assistant professor in the Statistic Department at the University of Florida in 1968 and was named associate professor in 1972.

Dr. Ott joined Merrell-National laboratories in 1975 as head of the Biostatistics Department and then head of the company's Research Data Center. He later became director of Biomedical Information Systems, Vice President of Global Systems and Quality Improvement in Research and Development, and Senior Vice President Business Process Improvement and Biometrics. He retired from the pharmaceutical industry in 1998 and now serves as consultant and Board of Advisors member for Abundance Technologies, Inc. Lyman has published extensively in scientific journals and authored or co-authored seven college textbooks including Basic Statistical Ideas for Managers, Statistics: A Tool for the Social Sciences, and An Introduction to Statistical Methods and Data Analysis.

Well experiences authors, Ott and Longnecker’s An Introduction To Statistical Methods And Data Analysis 7th Edition (PDF), provides a broad overview of statistical methods for advanced graduate and undergraduate students from a variety of disciplines who have no or little prior course work in statistics. The authors teach college students to solve problems encountered in research projects, to make decisions based on data in general settings both beyond and within the university/college setting, and to become critical readers of statistical analyses in news reports and research papers.

The first 11 chapters present material typically covered in introductory statistics courses, as well as case studies and great examples that are often encountered in undergraduate capstone courses. The remaining chapters in the statistics ebook cover design of experiments and regression modeling.

Note: We also have to An Introduction To Statistical Methods And Data Analysis 7e Instructor’s solution manual (ISM) and data sets for download (see below). This purchase only contains the PDF of the book.


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