A guide for students who are taking their first course in statistics. It curtails students' anxieties and minimizes unnecessary formulas, while providing a review of basic statistical designs and analyses. It also includes a short story about statisticians who figured prominently in the evolution of the discipline of statistics.
How does a genius see the world? Where and how does inspiration strike? Blending science with history, biography with myth, the author conjures up an inimitable cast: the omnipresent Einstein, mad genius Kurt Godel, and the author's personal hero, John Nash.
Award-winning Steven Strogatz, one of the foremost popularizers of maths, has written a witty and fascinating account of maths' most compelling ideas and how, so often, they are an integral part of everyday life.
Suitable for students who require a fundamental knowledge of mathematics for engineering, this book includes content that meets the needs of students studying Level 2 courses, including GCSE Engineering, the Diploma, and the BTEC First specifications. It features numerous worked examples supported by 600 worked problems.
This leading dictionary contains over 3,000 clear and concise entries updated in line with curriculum and degree requirements. It covers pure and applied mathematics and statistics, features entry-level web links, and includes detailed appendices. Authoritative and comprehensive, this A-Z is invaluable for students and teachers of mathematics.
This authoritative and newly revised dictionary covers over 2,000 statistical terms in jargon-free language. Web links for many entries updated via the Dictionary of Statistics webpage provide useful extra information. An indispensable reference work for students and professionals who come into contact with statistical terms at work or university.
The strength of this text, now in its fifth edition, is its applicability across a range of disciplines, making it the perfect choice as an introductory textbook for first year students. In this new edition, the computing content is based on Minitab, Release 14, with its extensive facilities in graphical and descriptive statistics.
Offers a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. This step-by-step guide to statistical techniques includes: non-parametric tests; correlation; simple and multiple regression; analysis of variance and covariance; and, factor analysis.
From one of our most gifted and lyrical writers on mathematics, an exploration of the fascinating origins and critical legacy of Euclid's influential book The Elements, which still stands as a cornerstone of geometry.
Statistics: An Introduction Using R offers a concise introduction to statistical methods, stressing the graphical investigation of data, and features step--by--step instructions to help the non--statistician to understand fully the methodology. .
Get un-stumped in a hurry! Proofs made easier Make friends with lines and angles, theorems and postulates -- and prove it The proof is in the pudding -- and the parallelogram, and sometimes the rhombus. With this friendly guide, you'll soon be devouring proofs with relish.
The fun and friendly guide to the world's leading statistical software Predictive Analysis Software (PASW), formerly SPSS software, is the leading statistical software used by commerical, government, and academic organizations around the world to solve business and research problems.
Statistics For Dummies, 2nd Edition, explains statistical concepts like "mean," "media," and "probability" and helps readers develop confidence analysing and interpreting business data for improved on-the-job performance. This book is packed with practical advice and features 25% new and updated content.
Business Statistics using Excel offers a step-by-step guide to the theory and methodology behind the use of statistics in business. Integrated screenshots offer clear guidance through each Excel process and exercises are imbedded throughout each chapter to ensure that students engage with the content and frequently test their understanding.
Presented through exciting examples, with an emphasis on understanding rather than computation, the Second Edition provides a crystal clear introduction to the main statistical procedures used in the psychological and social sciences.
Many students find the quantum intellectual leap between school and university maths to be too great, and some drop out as a result. This book has been written to counter this, by helping students cross the divide.
Like its wildly popular predecessors 'Cabinet of Mathematical Curiosities' and 'Hoard of Mathematical Treasures', this book is a miscellany of over 150 mathematical curios and conundrums, packed with trademark humour and numerous illustrations.
This work guides the reader through the process of data analysis and features hints and warnings. It should be of interest to those studying quantitative methods in all disciplines, in particular marketing, management, economics and psychology.
Once again, bestselling author and award-winning teacher Andy Field hasn't just broken the traditional textbook mould with his new novel/textbook, he has forged the only statistics book on the market with a terrifying probability bridge, zombies and a talking cat!
In this Very Short Introduction, Jacqueline Stedall explores the rich historical and cultural diversity of mathematical endeavour from the distant past to the present day, using illustrative case studies drawn from a range of times and places; including early imperial China, the medieval Islamic world, and nineteenth-century Britain.
In the bestselling tradition of Supercrunchers and Freakonomics a popular statistician and blogger provides a fascinating and entertaining narrative that dramatizes the hidden power of numbers and numerical relationships in everyday life.
Takes in various branches of pure and applied mathematics, from algebra to mechanics and from number theory to statistics. Suitable for students at various levels, this book is also useful for economists, business people, engineers, technicians and scientists who use mathematics in the course of their work.
This book aims to explain, in clear non-technical language,what it is that mathematicians do, and how that differs from and builds on the mathematics that most people are familiar with from school. It is the ideal introduction for anyone who wishes to deepen their understanding of mathematics.
Part of a set of volumes that trace the development of mathematical ideas and the careers of the mathematicians responsible for them, this text covers the revival of projective geometry, the emergence of abstract algebra, the beginnings of topology, and the influence of Godel on recent study.
This wide-ranging dictionary covers over 2,300 statistical terms in accessible, jargon-free language. All existing entries and web links have been revised and updated to ensure that the content is as relevant as possible. An indispensable reference work for any students or professionals who come into contact with statistics at work or university.
Written in an informal style, this book guides the reader gently through the field from the simplest descriptive statistics to multidimensional approaches. It's written in an accessible way, with few calculations and fewer equations, for readers from a broad set of academic disciplines ranging from archaeology to zoology.
Based on Neil J. Salkind's bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative and personable.
The updated edition of this classic text introduces a range of techniques for exploring quantitative data. Beginning with an emphasis on descriptive statistics and graphical approaches, it moves on in later chapters to simple strategies for examining the associations between variables using inferential statistics such as chi squared.
From the author of 'The Music of the Primes' and 'Finding Moonshine' comes a short, lively book on five mathematical problems that just refuse be solved - and on how many everyday problems can be solved by maths.
"Preface This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference starting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian methods in applied statistics for general users of and researchers in applied statistics. Although introductory in its early sections, the book is definitely not elementary in the sense of a first text in statistics. The mathematics used in our book is basic probability and statistics, elementary calculus, and linear algebra. A review of probability notation is given in Chapter 1 along with a more detailed list of topics assumed to have been studied. The practical orientation of the book means that the reader's previous experience in probability, statistics, and linear algebra should ideally have included strong computational components. To write an introductory text alone would leave many readers with only a taste of the conceptual elements but no guidance for venturing into genuine practical applications, beyond those where Bayesian methods agree essentially with standard non-Bayesian analyses. On the other hand, we feel it would be a mistake to present the advanced methods without first introducing the basic concepts from our data-analytic perspective. Furthermore, due to the nature of applied statistics, a text on current Bayesian methodology would be incomplete without a variety of worked examples drawn from real applications. To avoid cluttering the main narrative, there are bibliographic notes at the end of each chapter and references at the end of the book"--
Offers a miscellany of sacred, mysterious, spiritual and profane numbers. This book presents a deceptively simple list of virtues, spiritual attributes, gods, devils, sacred cities, dominions, powers, heroes, saints and symbols. It provides a mass of information for those intrigued by the many roles numbers play.