Statistics and Mathematics

This bestseller continues to help instructors teach an often intimidating and difficult subject in a way that is informative, personable and clear.

Uses statistics to teach SPSS, by interacting with the software and learning by inquiry and discovery. Twenty-three short chapters show how to use SPSS to compute the most common statistical tests.

From ancient Babylon to the last great unsolved problems, Ian Stewart brings us his definitive history of mathematics

This dynamic, student-focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool.

Written by Eva Lawrence and Kathrynn Adams, this study guide provides instructions for performing statistical calculations in IBM(R) SPSS (R) along with additional exercises to reinforce concepts in the text. It follows the main text, chapter by chapter, for easy assigning and studying.

Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, Statistics for the Terrified is also an ideal refresher for students who have already taken a statistics course. Its informal and highly engaging narrative includes self-help strategies, numerous concrete examples, and a great deal of humor.

A long-standing, best-selling, comprehensive textbook covering all the mathematics required on upper level engineering mathematics undergraduate courses.

A smart, funny and provocative look at the mathematics of love

Statistics For Dummies, 2nd Edition (9781119293521) was previously published as Statistics For Dummies, 2nd Edition (9780470911082). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.

The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise.

Impressive numbers are thrown at us by the news every day. They are meant to help us understand, to compare, to evaluate, but in practice they often befuddle rather than enlighten. This entertaining, practical book gives us the tools and tips to decipher the figures, and to enjoy the way numbers enable us to understand our world.

Samples used in social and commercial surveys are usually less random than many people using them realise, or have been taught to analyse. This book, for practising researchers, introduces the challenges posed by less-than-perfect samples, giving background knowledge, practical guidance and, above all, realistic and implementable solutions.

A comprehensive but focussed introduction for business students to the application of IS in organisations, using a systems-theory approach, with extensive examples and case studies, including online videos. Terminology is admirably clear and topics are interconnected so that students get a sense of the whole, not a series of isolated issues.

This is an exciting and innovative core textbook that focuses on the micro-level analysis of TM as a dynamic capability.

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.

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.

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.

Inspiration and guidance for aspiring mathematicians

SAGE Dictionary of Statistics

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.

The ideal review for the thousands of college students who enroll in intermediate algebra courses.

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.

With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book provides readers with a step-by-step introduction to using statistics.

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.

Designed to heighten awareness of statistical ideas, this comprehensive and research-based text explores four main themes: describing, comparing, inter-relating, and uncertainty.

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.

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!

Delivered in Evergreen's humorous and approachable style, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate the story in their data.

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.

Rev. ed. of: Computer-aided multivariate analysis. 4th ed. c2004.

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.

100 of the most important mathematical concepts and their discoveries.

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.

Twenty-three mathematical masterpieces for exploration and enlightenment

"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"--

Bayesian Essentials with R