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.

A unique blend of novel and textbook from bestselling author Andy Field that provides a complete introduction to statistics - alongside a terrifying probability bridge, zombies and a talking cat.

Encourages development of application and decision making skills for use in managing raw data and real-world projects. This book includes such topics as scattergrams and time series graphs, simple and multiple regressions, time series analysis, and random sampling.

An engaging, accessible introduction into how numbers work and why we shouldn't be afraid of them, from maths expert Rachel Riley.

"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

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.

The story of how you can compete with Amazon's enormous success - and win.

Mathematics is explained using over 550 practical engineering worked examples and interactive problems, for Level 2 and 3 engineering and A level courses. The companion website provides essential formulae, multiple choice tests, and full solutions for 1,900 further questions; and answers to revision tests for adopting course instructors.

Offers what you need to make the most of building information modeling. If you're looking to get involved in the world of BIM, but don't quite know where to start, this book helps you in collaborative building using one coherent system of computer models rather than as separate sets of drawings.

For the 1 or 2 semester course in Business Statistics. Emphasizing the use of statistical software like Excel and Minitab, this comprehensive text offers a rich array of business examples, real data, and a unique step-by-step framework that allows students to learn by doing.

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.

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

Walking the reader through the steps of statistical tests and providing data sets and screen shots from SPSS, this student-friendly book helps students to successfully use statistical tests in SPSS, interpret the results and also to understand statistical concepts.

This dictionary provides clear definitions for over 4,000 pure and applied mathematics terms, including key theories, concepts, methods, people, and terminology. The new edition expands its coverage across a wide range of pure and applied topics, particularly at first- and second-year university levels. It also includes a new historical timeline.

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

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.

Everything a student needs to learn statistics starting from the basics and progressing onto sophisticated statistical modelling. A genuine one-off that uses humour, and the quirks of the everyday, to bring statistics to life and to make it accessible.

The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences.

Many students studying economics do not have maths A-level, and struggle with it as a subject. This book will enable them to test how well they are progressing, as they revise for an exam or prepare for an assessment.