An introduction to statistical methods & data analysis / R. Lyman Ott, Michael Longnecker, Texas A & M University.
Material type: TextPublisher: Australia : Cengage Learning, [2016]Edition: Seventh editionDescription: xv, 1174 pages : illustrations (some color) ; 26 cmContent type:- text
- unmediated
- volume
- 9781305269477 (hbk.)
- Introduction to statistical methods and data analysis
- QA 276 .Ot8 2016
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Graduate Studies | DLSU-D GRADUATE STUDIES Graduate Studies | Graduate Studies | QA 276 .Ot8 2016 (Browse shelf(Opens below)) | Available | 3AEA2015006420 |
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QA 276 .B736 2017 Understandable statistics : | QA 276 .D498 2014 Applied statistics for engineers and scientists / | QA 276 .L645 1996 Parametric statistical inference. | QA 276 .Ot8 2016 An introduction to statistical methods & data analysis / | QA 276.12 .N229 2018 Essential statistics / | QA 276.14 .J329 2016 Statistics from A to Z : | QA 276.45.R3 .Z61 2018 R for programmers : |
Includes bibliographical references and index.
Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh 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 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. --Amazon.com
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