Statistics and Data Analysis: From Elementary to Intermediate

Tamhane, Ajit C, and Dunlop, Dorothy

ISBN 10: 0137444265 / ISBN 13: 9780137444267

Published by Prentice Hall, Upper Saddle River, NJ, 1999

About this Item

***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design (Missing some content), the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Audience: General/trade. Seller Inventory # K0510000918

Bibliographic Details

Title: Statistics and Data Analysis: From ...

Publisher: Prentice Hall, Upper Saddle River, NJ

Publication Date: 1999

Binding: Trade paperback

Condition: New in new dust jacket.

Edition: International Edition

About this title

Synopsis:

For two-semester, junior/senior-level courses in Introductory Statistics and Data Analysis; and for first-year graduate courses in applied disciplines.

This text was written for Junior/Senior or graduate level students with a background in calculus who are required to take one course in statistics. The goal of the text is to introduce future engineers, scientists, economists, applied mathematicians, computer scientists, high school math teachers, experimental psychologists, and others to the concepts and methods of modern statistics and its applications to a wide variety of fields. The text emphasizes computer assisted data analyses as well as the mathematical bases of the underlying statistical methods.

From the Back Cover:

Introducing the concepts and methods of modern statistics with an emphasis on computer assisted data analysis, the book focuses on interpretation of results rather than their computation. Review of probability, collecting data, summarizing and exploring data, sampling distributions of statistics, basic concepts of inference, linear regression and correlation, analysis of single factor and multifactor Experiments.