Originally published in 2001, reissued as part of Pearson's modern classic series.

THE GUIDE FOR ANYONE AFRAID TO LEARN STATISTICS & ANALYTICS UPDATED WITH NEW EXAMPLES & EXERCISES This book discusses statistics and analytics using plain language and avoiding mathematical jargon. If you thought you couldn't learn these data analysis subjects because they were too technical or too mathematical, this book is for you! This edition delivers more everyday examples and end-of-chapter exercises and contains updated instructions for using Microsoft Excel. You'll use downloadable da...

Discrete Mathematical Structures, Sixth Edition, offers a clear and concise presentation of the fundamental concepts of discrete mathematics. Ideal for a one-semester introductory course, this text contains more genuine computer science applications than any other text in the field. This book is written at an appropriate level for a wide variety of majors and non-majors, and assumes a college algebra course as a prerequisite.

This text emphasizes the physical interpretation of mathematical solutions and introduces applied mathematics while presenting differential equations. Coverage includes Fourier series, orthogonal functions, boundary value problems, Green’s functions, and transform methods. This text is ideal for students in science, engineering, and applied mathematics.

"DE EERSTE TIEN MILJOEN CIJFERS VAN π" is een uniek en boeiend boek dat volledig is gewijd aan het tonen van de eerste 10 miljoen cijfers van pi. Dit boek is een eerbetoon aan de oneindigheid van deze wiskundige constante die al eeuwenlang de wiskundigen en wetenschappers intrigeert en fascineert.

Het boek is gepresenteerd in een elegante en minimalistische opmaak, zonder extra tekst, illustraties of annotaties. De focus ligt volledig op de cijfers zelf, met de cijfers van pi gerangschikt o...

Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers.