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Maths for Science
£34.99

MATHS FOR SCIENCE

PAPERBACK BY JORDAN, SALLY (SENIOR LECTURER, THE OPEN UNIVERSITY); ROSS, SHELAGH (FORMERLY SENIOR LECTURER, THE OPEN UNIVERSITY); MURPHY, PAT (VISITING SENIOR LECTURER, THE OPEN UNIVERSITY)

£34.99

ISBN
9780199644964
IMPRINT
OXFORD UNIVERSITY PRESS
 
 
EDITION
PUBLISHER
OXFORD UNIVERSITY PRESS
STOCK FOR DELIVERY
NOT IN STOCK - AVAILABLE TO ORDER
FORMAT
PAPERBACK
PAGES
400 pages
PUBLICATION DATE
06 SEP 2012

DESCRIPTION

Maths is a tool for representing and investigating the nature of the real world: it can simplify the huge complexity of natural processes, enabling us to make predictions and test assumptions. Without maths, the process of scientific enquiry would quickly stall. Yet, for many, maths is seen as a daunting, theory-filled subject, with little relevance to the real world. Maths for Science overturns these misconceptions by providing a confidence-boosting overview of essential mathematical skills and techniques. With examples and practice problems throughout, it shows in a clear, unintimidating style why maths is so important to the study of science, and encourages you to develop the essential skills for yourself. Building from the foundations of maths - numbers, fractions, and units and scales of measurement - the book leads you through a range of widely-used skills and concepts, including the handling of equations, logarithms, and the essentials of differentiation, probability and statistics, to provide a complete course of essential maths for science. Online Resource Centre For registered adopters of the text: - Figures from the book in electronic format For students: - Additional exercises, with solutions, to supplement those in the book itself - A flashcard glossary to help you master the essential terminology

CONTENTS

1. Starting points ; 2. Measurement in science ; 3. Calculating in science ; 4. Unit conversions ; 5. Algebra ; 6. Putting algebra to work ; 7. Graphs and gradient ; 8. Rate of change and differentiation ; 9. Angles and trigonometry ; 10. Logarithms ; 11. Probability and descriptive statistics ; 12. Statistical hypothesis testing