Amazon cover image
Image from Amazon.com
Custom cover image
Custom cover image

An introduction to statistical methods & data analysis

By: Contributor(s): Publication details: Australia : Cengage Learning, 2016. Edition: Seventh editionDescription: 1174 pISBN:
  • 9781305269477
Subject(s): LOC classification:
  • QA276  .O872A
Summary: Publisher Description (unedited publisher data) 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
หนังสือ หนังสือ PIM Creative Learning Space Chaengwattana หนังสือภาษาอังกฤษ English Book Shelves QA276 .O872A 2016 (Browse shelf(Opens below)) Available 32550000500787
Total holds: 0

Publisher Description (unedited publisher data) 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.

There are no comments on this title.

to post a comment.