Elementary Statistics Tables

Nonfiction, Science & Nature, Mathematics, Statistics, Business & Finance, Economics
Cover of the book Elementary Statistics Tables by Henry R. Neave, Taylor and Francis
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Author: Henry R. Neave ISBN: 9781136951893
Publisher: Taylor and Francis Publication: May 13, 2013
Imprint: Routledge Language: English
Author: Henry R. Neave
ISBN: 9781136951893
Publisher: Taylor and Francis
Publication: May 13, 2013
Imprint: Routledge
Language: English

This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid.

The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid.

The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.

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