So Much Data So Little Math: How to Predict Data Trends, 5 Easy Profitable Methods

Front Cover
University Press of America, Jan 1, 2000 - Education - 171 pages
So Much Data So Little Math is geared for the business community and for employees who are trying to interpret statistics without a background in formal mathematics. The book, relying on the availability of modern software rather than on the reader's math skills, puts trend analysis within reach of everyone. Through a simple method centering on case studies of ordinary business owners, May provides a simple way to learn how to model data. This highly practical text teaches five methods of modeling: regression, correlation, spreadsheets, database systems and neural networks. A must-read for any successful entrepreneur, So Much Data So Little Math will also be of great interest to researchers, business students and their instructors.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

From Data To Model From Model To Plan
13
Levels Of Data Analysis
29
Math Anxiety
45
Copyright

6 other sections not shown

Common terms and phrases

About the author (2000)

William D. May is a Senior Scientist with the Central Intelligence Agency and an Adjunct Professor of Computer Science at Virginia Tech.

Bibliographic information