The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo MCMC. Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.

    Writing is hard work and can be difficult to wedge into a frenetic academic schedule.This revised and updated edition of Paul Silvia's popular guide provides practical, light-hearted advice to help academics overcome common barriers and become productive writers. Silvia's expert tips have been updated to apply to a wide variety of disciplines, and this edition has a new chapter devoted to grant and fellowship writing.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    Through vivid narrative, lively presentations of important research, and intriguing examples, Elliot Aronson probes the patterns and motives of human behavior, covering such diverse topics as terrorism, conformity, obedience, politics, race relations, advertising, war, interpersonal attraction, and the power of religious cults.

    A six-step model offers invaluable assistance for selecting a topic, searching the literature, developing arguments, surveying the literature, critiquing the literature, and writing the literature review.

    Expanded multicultural coverage including new sociocultural landscape boxes Expanded coverage of key disorders and topics such as Borderline Personality Disorder, Conduct Disorder, ADHD, Pervasive Developmental Disorders like Asperger s DisorderExpanded coverage of prevention and of the promotion of mental healthUpdated coverage of recent theories, research, and events including thousands of new references from the years 2004-2006, as well as hundreds of new photos, tables, and figures.

    The average young person in the UK will spend 10,000 hours gaming by the age of twenty-one. What's causing this mass exodus? According to world-renowned game designer Jane McGonigal the answer is simple: videogames are fulfilling genuine human needs. Drawing on positive psychology, cognitive science and sociology, Reality is Broken shows how game designers have hit on core truths about what makes us happy, and utilized these discoveries to astonishing effect in virtual environments. But why, McGonigal asks, should we use the power of games for escapist entertainment alone? In this groundbreaking exploration of the power and future of gaming, she reveals how gamers have become expert problem solvers and collaborators, and shows how we can use the lessons of game design to socially positive ends, be it in our own lives, our communities or our businesses. Written for gamers and non-gamers alike, Reality is Broken sends a clear and provocative message: the future will belong to those who can understand, design and play games.

    There are equally many advanced textbooks which delve into the far reaches of statistical theory, while bypassing practical applications. But between these two approaches is an unfilled gap, in which theory and practice merge at an intermediate level. Professor M. G. Bulmer's Principles of Statistics, originally published in 1965, was created to fill that need. The new, corrected Dover edition of Principles of Statistics makes this invaluable mid-level text available once again for the classroom or for self-study.Principles of Statistics was created primarily for the student of natural sciences, the social scientist, the undergraduate mathematics student, or anyone familiar with the basics of mathematical language. It assumes no previous knowledge of statistics or probability; nor is extensive mathematical knowledge necessary beyond a familiarity with the fundamentals of differential and integral calculus. (The calculus is used primarily for ease of notation; skill in the techniques of integration is not necessary in order to understand the text.)Professor Bulmer devotes the first chapters to a concise, admirably clear description of basic terminology and fundamental statistical theory: abstract concepts of probability and their applications in dice games, Mendelian heredity, etc.; definitions and examples of discrete and continuous random variables; multivariate distributions and the descriptive tools used to delineate them; expected values; etc. The book then moves quickly to more advanced levels, as Professor Bulmer describes important distributions (binomial, Poisson, exponential, normal, etc.), tests of significance, statistical inference, point estimation, regression, and correlation. Dozens of exercises and problems appear at the end of various chapters, with answers provided at the back of the book. Also included are a number of statistical tables and selected references.

    Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    This social world is filled with paradox, mystery, suspense, and outright absurdity. Explore how social psychology can help you make sense of your own social world with this engaging and accessible book. Roy F. Baumeister and Brad J. Bushman's SOCIAL PSYCHOLOGY AND HUMAN NATURE can help you make sense of the always fascinating and sometimes bizarre and baffling diversity of human behavior-and it's also just plain interesting to learn about how and why people act the way they do.

    This groundbreaking book, winner of the 1974 Sorokin Award of the American Sociological Association, helped define for an entire generation of anthropologists what their field is ultimately about.

    Cognitive psychology, the science of the human mind and of how people process information, is at the core of empirical investigations into the nature of mind and thought.This anthology is based on the assumption that cognitive psychology is at heart empirical philosophy. Many of the core questions about thought, language, perception, memory, and knowledge of other people's minds were for centuries the domain of philosophy. The book begins with the philosophical foundations of inquiry into the nature of mind and thought, in particular the writings of Descartes, and then covers the principal topics of cognitive psychology including memory, attention, and decision making.The book organizes a daunting amount of information, underlining the essentials, while also introducing readers to the ambiguities and controversies of research. It is arranged thematically and includes many topics not typically taught in cognition courses, including human factors and ergonomics, evolutionary psychology, music cognition, and experimental design.ContributorsDaniel Dennett, Daniel Kahneman, Jay McClelland, Donald Norman, Michael Posner, Stephen Palmer, Eleanor Rosch, John Searle, Roger Shepard, and Anne Treisman

    But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like nonparametric curve estimation, bootstrapping, and clas- sification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analyzing data. For some time, statistics research was con- ducted in statistics departments while data mining and machine learning re- search was conducted in computer science departments. Statisticians thought that computer scientists were reinventing the wheel. Computer scientists thought that statistical theory didn't apply to their problems. Things are changing. Statisticians now recognize that computer scientists are making novel contributions while computer scientists now recognize the generality of statistical theory and methodology. Clever data mining algo- rithms are more scalable than statisticians ever thought possible. Formal sta- tistical theory is more pervasive than computer scientists had realized.

    A preeminent scholar, writer, and teacher, he has had a profound influence on millions of people. To him, mythology was the "song of the universe, the music of the spheres." With Bill Moyers, one of America's most prominent journalists, as his thoughtful and engaging interviewer, The Power Of Myth touches on subjects from modern marriage to virgin births, from Jesus to John Lennon, offering a brilliant combination of intelligence and wit.

    Authors Juliet Corbin and the late Anselm Strauss (co-creator of Grounded Theory) present methods that enable researchers to analyze and interpret their data, and ultimately build theory from it. Highly accessible in their approach, Corbin and Strauss provide a step-by-step guide to the research act--from the formation of the research question through several approaches to coding and analysis, to reporting on the research. Full of definitions and illustrative examples, this book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research. Significantly revised, Basics of Qualitative Research remains a landmark volume in the study of qualitative methods. Key Features of the Third Edition:Allows for students to develop their critical thinking skills in the "Critical Issues" section at the end of each chapter.Shows the actual steps involved in data analysis (from description to grounded theory) and data gathering by means of theoretical sampling.Provides exercises for thinking, writing and group discussion that reinforces material presented in the text.