In this fully revised second edition of Understanding Probability, the reader can learn about the world of probability in an informal way. The author demystifies the law of large numbers, betting systems, random walks, the bootstrap, rare events, the central limit theorem, the Bayesian approach and more. This second edition has wider coverage, more explanations and examples and exercises, and a new chapter introducing Markov chains, making it a great choice for a first probability course. But its easy-going style makes it just as valuable if you want to learn about the subject on your own, and high school algebra is really all the mathematical background you need.

Using everyday examples to demystify probability, this classic is now in its third edition with new chapters, exercises and examples.

The Little Quick Fix to Understanding Probability breaks it down step by step with crystal clear examples and exercises from one of the leading quantitative teachers in the UK. All you need is an hour and you′ll finally get it. Once it clicks into place, you can nail that section of your exam. Little Quick Fix titles provide quick but authoritative answers to the problems, hurdles, and assessment points students face in the research course, project proposal, or design—whatever their methods learning is. Lively, ultra-modern design; full-colour, each page a tailored design. An hour′s read. Easy to dip in and out of with clear navigation enables the reader to find what she needs—quick. Direct written style gets to the point with clear language. Nothing needs to be read twice. No fluff. Learning is reinforced through a 2-minute overview summary; 3-second summaries with super-quick Q&A DIY tasks create a work plan to accomplish a task, do a self-check quiz, solve a problem, get students to what they need to show their supervisor. Checkpoints in each section make sure students are nailing it as they go and support self-directed learning. How do I know I’m done? Each Little Quick Fix wraps up with a finale checklist that allows the reader to self-assess they’ve got what they need to progress, submit, or ace the test or task.

INTRODUCTION TO PROBABILITY Discover practical models and real-world applications of multivariate models useful in engineering, business, and related disciplines In Introduction to Probability: Multivariate Models and Applications, a team of distinguished researchers delivers a comprehensive exploration of the concepts, methods, and results in multivariate distributions and models. Intended for use in a second course in probability, the material is largely self-contained, with some knowledge of basic probability theory and univariate distributions as the only prerequisite. This textbook is intended as the sequel to Introduction to Probability: Models and Applications. Each chapter begins with a brief historical account of some of the pioneers in probability who made significant contributions to the field. It goes on to describe and explain a critical concept or method in multivariate models and closes with two collections of exercises designed to test basic and advanced understanding of the theory. A wide range of topics are covered, including joint distributions for two or more random variables, independence of two or more variables, transformations of variables, covariance and correlation, a presentation of the most important multivariate distributions, generating functions and limit theorems. This important text: Includes classroom-tested problems and solutions to probability exercises Highlights real-world exercises designed to make clear the concepts presented Uses Mathematica software to illustrate the text’s computer exercises Features applications representing worldwide situations and processes Offers two types of self-assessment exercises at the end of each chapter, so that students may review the material in that chapter and monitor their progress Perfect for students majoring in statistics, engineering, business, psychology, operations research and mathematics taking a second course in probability, Introduction to Probability: Multivariate Models and Applications is also an indispensable resource for anyone who is required to use multivariate distributions to model the uncertainty associated with random phenomena.

This fully updated third edition looks at the fundamentals of mathematics teaching, how to plan lessons and assess learning, and how to promote an inclusive approach in the classroom. Key new features include: Updated content reflecting: the 2014 National Curriculum in England, the Teachers′ Standards and revised requirements for GCSE and A level mathematics Updated ′Evidence from research′ features, highlighting developments in the field An expanded section on mathematical misconceptions New coverage on teaching for mastery.

It’s not too late to learn new math tricks—and help kids learn them, too! Teaching Your Kids New Math, Grades 6-8, For Dummies teaches you the new standard way of teaching kids math. It’s all about thinking through how to solve problems and using strategies, rather than just memorizing the procedures. In this book, parents, guardians, and tutors will learn how to use these methods and standards to effectively teach kids Common Core math for grades 6-8. Teaching Your Kids New Math, Grades 6-8, For Dummies shows you how schools are teaching kids math these days, and gives you tools to support kids through the homework and test prep process. You’ll love this book’s clear explanations and examples organized by grade level. With Teaching Your Kids New Math, Grades 6-8, For Dummies?? you’ll also get access to online tools, including dozens of math worksheets for additional support. Learn how to teach 6th through 8th grade math according to the Common Core Discover the new methods and formulas that are standard for math instruction Get best teaching practices, example problems, and tips about common math pitfalls Help your kids with math homework and enhance the homeschool journey This is the perfect Dummies guide for anyone who needs guidance on how to teach kids math using new methods and concepts—they’re different from what we learned in school! Future math teachers will also love this user-friendly guide to middle-grade math.

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. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis. Psychology Statistics For Dummies: Serves as an easily accessible supplement to doorstop-sized psychology textbooks Provides psychology students with psychology-specific statistics instruction Includes clear explanations and instruction on performing statistical analysis Teaches students how to analyze their data with SPSS, the most widely used statistical packages among students

Provides a comprehensive introduction to teaching and learning mathematics in today's classrooms.

How do we define thinking? Is it simply memory, perception and motor activity or perhaps something more complex such as reasoning and decision making? This book argues that thinking is an intricate mix of all these things and a very specific coordination of cognitive resources. Divided into three key sections, there are chapters on the organization of human thought, general reasoning and thinking and behavioural outcomes of thinking. These three overarching themes provide a broad theoretical framework with which to explore wider issues in cognition and cognitive psychology and there are chapters on motivation and language plus a strong focus on problem solving, reasoning and decision making – all of which are central to a solid understanding of this field. The book also explores the cognitive processes behind perception and memory, how we might differentiate expertise from skilled, competent performance and the interaction between language, culture and thought.