## Understanding Probability Author: Henk Tijms

Publisher: Cambridge University Press

ISBN:

Category: Mathematics

Page: 562

View: 858

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

## Understand Probability Little Quick Fix

Author: John MacInnes

Publisher: SAGE

ISBN:

Category: Reference

Page: 108

View: 949

## Understand Probability Author: IntroBooks

Publisher: IntroBooks

ISBN:

Page: 30

View: 849

## Probability For Dummies Author: Deborah J. Rumsey

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 384

View: 336

Packed with practical tips and techniques for solving probability problems Increase your chances of acing that probability exam -- or winning at the casino! Whether you're hitting the books for a probability or statistics course or hitting the tables at a casino, working out probabilities can be problematic. This book helps you even the odds. Using easy-to-understand explanations and examples, it demystifies probability -- and even offers savvy tips to boost your chances of gambling success! Discover how to * Conquer combinations and permutations * Understand probability models from binomial to exponential * Make good decisions using probability * Play the odds in poker, roulette, and other games

## The Probability Lifesaver All the Tools You Need to Understand Chance

Author: Steven J. Miller

Publisher: Princeton University Press

ISBN:

Category: Mathematics

Page: 752

View: 950

The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as a supplement for a course, this accessible and user-friendly study guide helps students comfortably navigate probability's terrain and achieve positive results. The Probability Lifesaver is based on a successful course that Steven Miller has taught at Brown University, Mount Holyoke College, and Williams College. With a relaxed and informal style, Miller presents the math with thorough reviews of prerequisite materials, worked-out problems of varying difficulty, and proofs. He explores a topic first to build intuition, and only after that does he dive into technical details. Coverage of topics is comprehensive, and materials are repeated for reinforcement—both in the guide and on the book's website. An appendix goes over proof techniques, and video lectures of the course are available online. Students using this book should have some familiarity with algebra and precalculus. The Probability Lifesaver not only enables students to survive probability but also to achieve mastery of the subject for use in future courses. A helpful introduction to probability or a perfect supplement for a course Numerous worked-out examples Lectures based on the chapters are available free online Intuition of problems emphasized first, then technical proofs given Appendixes review proof techniques Relaxed, conversational approach

## Bayesian Statistics the Fun Way Understanding Statistics and Probability with Star Wars, LEGO, and Rubber Ducks

Author: Will Kurt

Publisher: No Starch Press

ISBN:

Category: Bayesian statistical decision theory

Page: 268

View: 481

Bayesian Statistics the Fun Way gets you understanding the theory behind data analysis without making you slog through a load of dry concepts first - with no programming experience necessary. You'll learn about probability with LEGO, statistics through Star Wars, distributions with bomb fuses, estimation through precipitation, and come away with some strong mathematical reasoning skills. This is a super approachable book for people who need to do data science and probability work in their lives, but never got a good grip on the underlying theory.

## "I Don't Really Understand Probability at All" Final Year Pre-Service Teachers' Understanding of Probability

Author: Nicole Maher

Publisher:

ISBN:

Category:

Page: 8

View: 786

This paper reports on one aspect of a wider study that investigated a selection of final year pre-service primary teachers' responses to four probability tasks. The tasks focused on foundational ideas of probability including sample space, independence, variation and expectation. Responses suggested that strongly held intuitions appeared to interfere with understanding probability, which impacted on the pre-service teachers' ability to identify students' errors and to confidently provide appropriate teaching suggestions and approaches.

## Fundamentals of Probability and Stochastic Processes with Applications to Communications Author: Kun Il Park

Publisher: Springer

ISBN:

Category: Technology & Engineering

Page: 275

View: 920

This book provides engineers with focused treatment of the mathematics needed to understand probability, random variables, and stochastic processes, which are essential mathematical disciplines used in communications engineering. The author explains the basic concepts of these topics as plainly as possible so that people with no in-depth knowledge of these mathematical topics can better appreciate their applications in real problems. Applications examples are drawn from various areas of communications. If a reader is interested in understanding probability and stochastic processes that are specifically important for communications networks and systems, this book serves his/her need.

## BUNDLE: Little Quick Fix Series (O'Leary: Research Question + O'Leary: Research Proposal + MacInnes: Identify Your Variables + MacInnes: Know Your Numbers + MacInnes: Understand Probability) Author: John MacInnes

Publisher: SAGE Publications, Incorporated

ISBN:

Category: Social Science

Page: 104

View: 899

This bundle includes Little Quick Fix: O'Leary: Research Question (Paperback) and O'Leary: Research Proposal (Paperback) and MacInnes: Identify Your Variables (Paperback) and MacInnes: Know Your Numbers (Paperback) and MacInnes: Understand Probability (Paperback)

## First Steps in Mathematics Data Management and Probability, Understand Probability, Collect, Process, and Interpret Data, Improving the Mathematics Outcomes of Students

Author:

Publisher:

ISBN:

Category:

Page:

View: 882

## Math for All Learners: Probability and Statistics Author: Robert Jenkins

Publisher: Walch Publishing

ISBN:

Category: Mathematics

Page: 92

View: 845

Worksheets and labs to help students understand probability and statistic concepts for today's information age using real world situations.

## Probability A Philosophical Introduction

Author: D.H. Mellor

Publisher: Routledge

ISBN:

Category: Philosophy

Page: 176

View: 957

Probability: A Philosophical Introduction introduces and explains the principal concepts and applications of probability. It is intended for philosophers and others who want to understand probability as we all apply it in our working and everyday lives. The book is not a course in mathematical probability, of which it uses only the simplest results, and avoids all needless technicality. The role of probability in modern theories of knowledge, inference, induction, causation, laws of nature, action and decision-making makes an understanding of it especially important to philosophers and students of philosophy, to whom this book will be invaluable both as a textbook and a work of reference. In this book D. H. Mellor discusses the three basic kinds of probability – physical, epistemic, and subjective – and introduces and assesses the main theories and interpretations of them. The topics and concepts covered include: * chance * frequency * possibility * propensity * credence * confirmation * Bayesianism. Probability: A Philosophical Introduction is essential reading for all philosophy students and others who encounter or need to apply ideas of probability.

## Probabilities The Little Numbers That Rule Our Lives

Author: Peter Olofsson

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 328

View: 577

Praise for the First Edition “If there is anything you want to know, or remind yourself, about probabilities, then look no further than this comprehensive, yet wittily written and enjoyable, compendium of how to apply probability calculations in real-world situations.” - Keith Devlin, Stanford University, National Public Radio’s “Math Guy” and author of The Math Gene and The Unfinished Game From probable improbabilities to regular irregularities, Probabilities: The Little Numbers That Rule Our Lives, Second Edition investigates the often surprising effects of risk and chance in our lives. Featuring a timely update, the Second Edition continues to be the go-to guidebook for an entertaining presentation on the mathematics of chance and uncertainty. The new edition develops the fundamental mathematics of probability in a unique, clear, and informal way so readers with various levels of experience with probability can understand the little numbers found in everyday life. Illustrating the concepts of probability through relevant and engaging real-world applications, the Second Edition features numerous examples on weather forecasts, DNA evidence, games and gambling, and medical testing. The revised edition also includes: The application of probability in finance, such as option pricing The introduction of branching processes and the extinction of family names An extended discussion on opinion polls and Nate Silver’s election predictions Probabilities: The Little Numbers That Rule Our Lives, Second Edition is an ideal reference for anyone who would like to obtain a better understanding of the mathematics of chance, as well as a useful supplementary textbook for students in any course dealing with probability.

## The Little Purple Probability Book Master the Thinking Skills to Succeed in Basic Probability

Author: Brandon Royal

Publisher: Maven Publishing

ISBN:

Category: Mathematics

Page: 48

View: 861

Fine-tune your numerical mindset with a quantitative review that serves as a tool for perceiving probability in a new way. Whether you’re a high school student, college student, or a test-prep candidate, this book’s wealth of explanations and insights makes it a perfect learning companion. Enjoy the benefits of your own short course in probability: •Be able to think conceptually by understanding how key problems “fit” within the main topics of probability, permutations, combinations, and enumerations. *Master basic probability using a simple “flowchart” to identify the correct formulas. *Understand when to “add” probabilities and when to “multiply” probabilities. *Be able to distinguish between events that are independent versus not independent and events that are mutually exclusive versus not mutually exclusive. *Grasp key differences between permutations and combinations and look for key words such as “arrangements” or “selections” to indicate the correct problem type. *Solve tricky permutation problems that involve repeated letters or numbers. *Approach probability problems with a newfound confidence and competency. This book is focused on honing those thinking skills that are essential for mastering basic probability. Such thinking skills make it much more likely that a person will be able to understand the “how” and “why” of problem solving, approach the subject in a conceptual way, and grasp those key principles that act as themes to bind related problems. These skills combine the science of math with the art of numbers. “To get started in probability theory, all you need are a few basic principles. Here they are, clear and uncluttered, in a short, simple book that comes as a welcome breath of fresh air.” —Dr. Ian Stewart, author of 17 Equations That Changed the World and the Cabinet of Mathematical Curiosities

## Introduction to Probability 4600 Solved Problems and Practice Exercises Involving Dice, Marbles, Coins, and More!

Author: Dorothy Stein

Publisher:

ISBN:

Category:

Page: 766

View: 396

## A Probability Path Author: Sidney I. Resnick

Publisher: Birkhäuser

ISBN:

Category: Mathematics

Page: 453

View: 628

Many probability books are written by mathematicians and have the built-in bias that the reader is assumed to be a mathematician coming to the material for its beauty. This textbook is geared towards beginning graduate students from a variety of disciplines whose primary focus is not necessarily mathematics for its own sake. Instead, A Probability Path is designed for those requiring a deep understanding of advanced probability for their research in statistics, applied probability, biology, operations research, mathematical finance and engineering. A one-semester course is laid out in an efficient and readable manner covering the core material. The first three chapters provide a functioning knowledge of measure theory. Chapter 4 discusses independence, with expectation and integration covered in Chapter 5, followed by topics on different modes of convergence, laws of large numbers with applications to statistics (quantile and distribution function estimation) and applied probability. Two subsequent chapters offer a careful treatment of convergence in distribution and the central limit theorem. The final chapter treats conditional expectation and martingales, closing with a discussion of two fundamental theorems of mathematical finance. Like Adventures in Stochastic Processes, Resnick’s related and very successful textbook, A Probability Path is rich in appropriate examples, illustrations and problems and is suitable for classroom use or self-study. The present uncorrected, softcover reprint is designed to make this classic textbook available to a wider audience. This book is different from the classical textbooks on probability theory in that it treats the measure theoretic background not as a prerequisite but as an integral part of probability theory. The result is that the reader gets a thorough and well-structured framework needed to understand the deeper concepts of current day advanced probability as it is used in statistics, engineering, biology and finance.... The pace of the book is quick and disciplined. Yet there are ample examples sprinkled over the entire book and each chapter finishes with a wealthy section of inspiring problems. —Publications of the International Statistical Institute This textbook offers material for a one-semester course in probability, addressed to students whose primary focus is not necessarily mathematics.... Each chapter is completed by an exercises section. Carefully selected examples enlighten the reader in many situations. The book is an excellent introduction to probability and its applications. —Revue Roumaine de Mathématiques Pures et Appliquées

## Probability and Conditional Expectation Fundamentals for the Empirical Sciences

Author: Rolf Steyer

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 600

View: 404

This book bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated and tested in the analysis of variance, regression analysis, factor analysis, structural equation modeling, hierarchical linear models, and analysis of qualitative data. The authors emphasize the theory of conditional expectations that is also fundamental to conditional independence and conditional distributions. Key features: Presents a rigorous and detailed mathematical treatment of probability theory, focusing on concepts that are fundamental to understand what we are estimating in applied statistics Explores the basics of random variables along with extensive coverage of measurable functions and integration. Extensively treats conditional expectations with respect to a conditional probability measure and the concept of conditional effect functions, which are crucial in the analysis of causal effects. Is illustrated throughout with simple examples, numerous exercises, and detailed solutions. Provides website links to further resources, including videos of courses delivered by the authors as well as R code exercises to help illustrate the theory presented throughout the book. Aimed at mathematicians, applied statisticians and substantive researchers, this book will help readers to understand in terms of probability theory what applied statisticians and substantive researchers estimate and test in their empirical studies.

## Probability Risk Management, Statistics, Combinations and Permutations for Business

Author: Daniel Covington

Publisher:

ISBN:

Category:

Page: 192

View: 727

## Probability and Statistical Inference Author: Robert Bartoszynski

Publisher: John Wiley & Sons

ISBN:

Category: Mathematics

Page: 592

View: 213

Updated classic statistics text, with new problems and examples Probability and Statistical Inference, Third Edition helps students grasp essential concepts of statistics and its probabilistic foundations. This book focuses on the development of intuition and understanding in the subject through a wealth of examples illustrating concepts, theorems, and methods. The reader will recognize and fully understand the why and not just the how behind the introduced material. In this Third Edition, the reader will find a new chapter on Bayesian statistics, 70 new problems and an appendix with the supporting R code. This book is suitable for upper-level undergraduates or first-year graduate students studying statistics or related disciplines, such as mathematics or engineering. This Third Edition: Introduces an all-new chapter on Bayesian statistics and offers thorough explanations of advanced statistics and probability topics Includes 650 problems and over 400 examples - an excellent resource for the mathematical statistics class sequence in the increasingly popular "flipped classroom" format Offers students in statistics, mathematics, engineering and related fields a user-friendly resource Provides practicing professionals valuable insight into statistical tools Probability and Statistical Inference offers a unique approach to problems that allows the reader to fully integrate the knowledge gained from the text, thus, enhancing a more complete and honest understanding of the topic.

## Exploring Probability in School Challenges for Teaching and Learning

Author: Graham A. Jones

Publisher: Springer Science & Business Media

ISBN:

Category: Education

Page: 390

View: 574

Exploring Probability in School provides a new perspective into research on the teaching and learning of probability. It creates this perspective by recognizing and analysing the special challenges faced by teachers and learners in contemporary classrooms where probability has recently become a mainstream part of the curriculum from early childhood through high school. The authors of the book discuss the nature of probability, look at the meaning of probabilistic literacy, and examine student access to powerful ideas in probability during the elementary, middle, and high school years. Moreover, they assemble and analyse research-based pedagogical knowledge for teachers that can enhance the learning of probability throughout these school years. With the book’s rich application of probability research to classroom practice, it will not only be essential reading for researchers and graduate students involved in probability education; it will also capture the interest of educational policy makers, curriculum personnel, teacher educators, and teachers.