Binas is een handig naslagwerk bij de vakken biologie, natuurkunde en scheikunde. De boeken zijn volledig in kleur uitgevoerd en mede daardoor helder en overzichtelijk. Binas is beschikbaar voor vmbo NaSk, vmbo biologie en voor havo/vwo Tweede Fase. Ook is er een Binas English edition voor de Tweede Fase.

This text is rigorous, fairly traditional and is appropriate for engineering and science calculus tracks. Hallmarks are accuracy, strong engineering and science applications, deep problem sets (in quantity, depth, and range), and spectacular visuals.

Fraleigh and Beauregard's text is known for its clear presentation and writing style, mathematical appropriateness, and overall student usability. Its inclusion of calculus-related examples, true/false problems, section summaries, integrated applications, and coverage of Cn make it a superb text for the sophomore or junior-level linear algebra course. This Third Edition retains the features that have made it successful over the years, while addressing recent developments of how linear algebra...

A little over a decade since its first publication, the hypotheses set out in Manuel Castells' groundbreaking trilogy have largely been verified. In a substantial new preface to the first volume in the series, Castells demonstrates, in the light of major world trends, how the network society has now fully risen on a global scale.

Stewart/Redlin/Watson's best-selling PRECALCULUS: MATHEMATICS FOR CALCULUS, 8th INTERNATIONAL METRIC EDITION with WebAssign digital resources prepares students to succeed in future calculus courses. This best-selling author team emphasizes problem-solving and mathematical modeling as this edition presents concepts with unparalleled clarity and precision. Updated content and revised learning features remove barriers for a carefully planned, inclusive learning experience.

The authors' attention...

Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from the forensic science literature and forensic case-work to illustrate relevant statistical concepts and methods. Opening with a brief overview of the history and use of statistics within forensic sc...

For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background.

It contains sufficient material for a two-semester c...

The statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations.

A Nobel prize-winning physicist, a social psychologist and a philosopher on how science can help us navigate information overload, thrive amidst uncertainty and heal our fractured society.

A definitive guide to thinking clearly in a world full of overwhelming information.

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In our deluge of information, it's getting harder and harder to distinguish the revelatory from the contradictory. How do we make health decisions in the face of conflicting medical advice? How can we navigate the...

First published over 40 years ago, this was the first text on the identification of organic compounds using spectroscopy. This text is now considered to be a classic. This text presents a unified approach to the structure determination of organic compounds based largely on mass spectrometry, infrared (IR) spectroscopy, and multinuclear and multidimensional nuclear magnetic resonance (NMR) spectroscopy.

The key strength of this text is the extensive set of practice and real-data problems (in C...