A Non-Mathematician's Guide to Statistics

Author:   Richard Flint
Publisher:   Cognella, Inc
Edition:   Second Edition
ISBN:  

9781516529117


Pages:   214
Publication Date:   26 July 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $246.40 Quantity:  
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A Non-Mathematician's Guide to Statistics


Overview

Designed to put statistics within reach of those who do not have strong mathematical backgrounds, A Non-Mathematician's Guide to Statistics is a friendly, conversational introductory textbook. The information, sample problems, and practice tests are ideal for those in any field that collects and processes data without requiring mathematical skills beyond algebra. Emphasizing discussion, demonstration, and illustration, the book gives clear, understandable information that helps students answer questions such as “What is a standard deviation?” “Why would someone prefer regression to ANOVA?” and “How do you actually use Bayes' Theorem?” The material is organized into four chapters that cover descriptive statistics, estimation and hypothesis testing, regression, and discrete probability. Each chapter includes suggestions for further reading, a glossary, and class-tested mock examinations. A Non-Mathematician's Guide to Statistics is an excellent teaching tool for any statistics course that emphasizes the practical, workplace use of statistics skills.

Full Product Details

Author:   Richard Flint
Publisher:   Cognella, Inc
Imprint:   Cognella, Inc
Edition:   Second Edition
Dimensions:   Width: 21.50cm , Height: 1.10cm , Length: 27.90cm
Weight:   0.333kg
ISBN:  

9781516529117


ISBN 10:   1516529111
Pages:   214
Publication Date:   26 July 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Author Information

Richard Flint studied mathematics and theology at the University of Notre Dame, statistics at Cornell University, and public policy at The University of Chicago. Now a faculty member at the College of DuPage in Illinois, he has taught courses in statistics, calculus, college algebra, programming, and computer applications for 30 years.

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NOV RG 20252

 

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