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

By William D. May

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.

• Format: Paperback
• Language: English
• ISBN: 0761816402
• ISBN13: 9780761816409
• Release Date: March 2000
• Publisher: University Press of America
• Length: 192 Pages
• Weight: 0.62 lbs.