An Introduction to Statistical Methods and Data Analysis (Available 2010 Titles Enhanced Web Assign)

R. Lyman Ott, Micheal Longnecker

ISBN 10: 0495017582 / ISBN 13: 9780495017585

Editore: Brooks/Cole, 2008

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Good or better condition. Pages have scattered marks and notes, but completely legible, binding is good. Covers mostly clean, minor scuffing or stickers. Solid reading copies. Ships fast! Codice articolo #28B-00273

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Titolo: An Introduction to Statistical Methods and ...

Casa editrice: Brooks/Cole

Data di pubblicazione: 2008

Legatura: Rilegato

Condizione: Good

Descrizione articolo

Riassunto:

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for readers who have little or no prior experience in statistics. The authors teach readers to solve problems encountered in research projects, to make decisions based on data in general settings, and to become critical readers of statistical analyses in research papers and in news reports. The first eleven chapters present material typically covered in a college-level introductory statistics course, as well as interesting case studies and examples. The remaining chapters cover regression modeling and design of experiments.

Product Description:

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.