Mathematics / Science & Math - Page 2 - Super Savings! Save up to 37%
Super Savings! Up to 37% off on Mathematics (in Science & Math) at SADC Network, Page 2 . Top brands include Graphics Pr, Brain Hunter Prep Inc., Princeton Review, & Springer. Hurry! Limited time offers. Offers valid only while supplies last.
The Visual Display of Quantitative Information
You Save: 13%
mpn: 11746960, ean: 9780961392147, isbn: 9780961392147,
4.3 out of 5 stars with 35 reviews
The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation
Every Day Math Practice: 1000+ Questions You Need to Kill in Middle School | Math Workbook | Middle School Study Practice Notebook | Grades 6-8
By Brain Hunter Prep Inc.
You Save: 26%
ean: 9781946755346, isbn: 1946755346,
4.5 out of 5 stars with 12 reviews
Prepare your child for middle school math with our award-winning Math Practice Workbook for Grades 6 to 8. Used by teachers, parents and students nationwide this workbook provides middle school children with comprehensive practice questions that cover a wide range of topics they will encounter in middle school.Created by certified middle school teachers, this workbook is the perfect supplementary workbook for any student in 6th grade, 7th grade or 8th grade. This workbook is also aligned to all
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
You Save: 37%
mpn: 25645136, ean: 9780387848570, isbn: 0387848576,
4.9 out of 5 stars with 19 reviews
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning.