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Functions, Data, and Models - An Applied Approach to College Algebra (Hardcover) Loot Price: R2,205
Discovery Miles 22 050
Functions, Data, and Models - An Applied Approach to College Algebra (Hardcover): Sheldon P. Gordon, Florence S. Gordon

Functions, Data, and Models - An Applied Approach to College Algebra (Hardcover)

Sheldon P. Gordon, Florence S. Gordon

Series: MAA Textbooks

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Loot Price R2,205 Discovery Miles 22 050 | Repayment Terms: R207 pm x 12*

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This is a college algebra-level textbook written to provide the kind of mathematical knowledge and experiences that students will need for courses in other fields, such as biology, chemistry, business, finance, economics, and other areas that are heavily dependent on data either from laboratory experiments or from other studies. The focus is on the fundamental mathematical concepts and the realistic problem-solving via mathematical modeling rather than the development of algebraic skills that might be needed in calculus. Functions, Data, and Models presents college algebra in a way that differs from almost all college algebra books available today. Rather than going over material covered in high school courses the Gordons teach something new. Students are given an introduction to data analysis and mathematical modeling presented at a level that students with limited algebraic skills can understand. The book contains a rich set of exercises, many of which use real data. Also included are thought experiments or what if questions that are meant to stretch the student s mathematical thinking.

General

Imprint: Mathematical Association of America
Country of origin: United States
Series: MAA Textbooks
Release date: November 2010
First published: May 2010
Authors: Sheldon P. Gordon • Florence S. Gordon
Dimensions: 229 x 152 x 33mm (L x W x T)
Format: Hardcover - Cloth over boards
Pages: 492
ISBN-13: 978-0-88385-767-0
Categories: Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Geometry > Algebraic geometry
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LSN: 0-88385-767-7
Barcode: 9780883857670

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