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An introduction to statistical methods & data analysis / R. Lyman Ott, Michael Longnecker, Texas A & M University.

By: Contributor(s): Material type: TextTextPublisher: Australia : Cengage Learning, [2016]Edition: Seventh editionDescription: xv, 1174 pages : illustrations (some color) ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781305269477 (hbk.)
Other title:
  • Introduction to statistical methods and data analysis
Subject(s): LOC classification:
  • QA 276 .Ot8 2016
Online resources: Summary: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode
Graduate Studies Graduate Studies DLSU-D GRADUATE STUDIES Graduate Studies Graduate Studies QA 276 .Ot8 2016 (Browse shelf(Opens below)) Available 3AEA2015006420

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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