Each technique is introduced with a simple, jargon-free explanation, practical examples, and hands-on guidance for solving real problems with Excel or a TI-83/84 series calculator, including Plus models. Hate math? No sweat. You'll be amazed how little you need! For those who do have an interest in mathematics, optional "Equation Blackboard" sections review the equations that provide the foundations for important concepts. David M. Levine is a much-honored innovator in statistics education. He is Professor Emeritus of Statistics and Computer Information Systems at Bernard M. Baruch College (CUNY), and co-author of several best-selling books, including Statistics for Managers using Microsoft Excel, Basic Business Statistics, Quality Management, and Six Sigma for Green Belts and Champions. Instructional designer David F. Stephan pioneered the classroom use of personal computers, and is a leader in making Excel more accessible to statistics students. He has co-authored several textbooks with David M. Levine. Here's just some of what you'll learn how to do... Use statistics in your everyday work or study Perform common statistical tasks using a Texas Instruments statistical calculator or Microsoft Excel Build and interpret statistical charts and tables "Test Yourself" at the end of each chapter to review the concepts and methods that you learned in the chapter Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics Use probability and probability distributions Work with sampling distributions and confidence intervals Test hypotheses and decision-making risks with Z, t, Chi-Square, ANOVA, and other techniques Perform regression analysis and modeling The easy, practical introduction to statistics--for everyone! Thought you couldn't learn statistics? Think again. You can--and you will!

    

    Starting from the basics of probability, the authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions and consequences of previous concepts. This book can be used for readers who have a solid mathematics background. It can also be used in a way that stresses the more practical uses of statistical theory, being more concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less concerned with formal optimality investigations.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    Here, an indigenous researcher issues a clarion call for the decolonization of research methods.The book is divided into two parts. In the first, the author critically examines the historical and philosophical base of Western research. Extending the work of Foucault, she explores the intersections of imperialism, knowledge and research, and the different ways in which imperialism is embedded in disciplines of knowledge and methodologies as 'regimes of truth'. Providing a history of knowledge from the Enlightenment to Postcoloniality, she also discusses the fate of concepts such as 'discovery, 'claiming' and 'naming' through which the west has incorporated and continues to incorporate the indigenous world within its own web.The second part of the book meets the urgent need for people who are carrying out their own research projects, for literature which validates their frustrations in dealing with various western paradigms, academic traditions and methodologies, which continue to position the indigenous as 'Other'. In setting an agenda for planning and implementing indigenous research, the author shows how such programmes are part of the wider project of reclaiming control over indigenous ways of knowing and being.Exploring the broad range of issues which have confronted, and continue to confront, indigenous peoples, in their encounters with western knowledge, this book also sets a standard for truly emancipatory research. It brilliantly demonstrates that "when indigenous peoples become the researchers and not merely the researched, the activity of research is transformed."

    Now thoroughly updated and revised with information about all aspects of survey research?grounded in the most current research?the new edition provides practical ?how-to? guidelines on optimally using the Internet, mail, and phone channels to your advantage.

    

    The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association. The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

    Individual chapters discuss the representativeness and availability heuristics, problems in judging covariation and control, overconfidence, multistage inference, social perception, medical diagnosis, risk perception, and methods for correcting and improving judgments under uncertainty. About half of the chapters are edited versions of classic articles; the remaining chapters are newly written for this book. Most review multiple studies or entire subareas of research and application rather than describing single experimental studies. This book will be useful to a wide range of students and researchers, as well as to decision makers seeking to gain insight into their judgments and to improve them.

    Each contributor is either an originator or a leading proponent of one of the systems, and each presents the basic principles of the system in a clear and straightforward manner, discussing it in the context of the other systems. Theory chapters include a case example that guides you through the problem, evaluation, treatment, and follow-up process. Accompanying CURRENT PSYCHOTHERAPIES is CASE STUDIES IN PSYCHOTHERAPY, each case demonstrates the basic techniques and methods of the theory being illustrated. This edition retains classic case studies by Harold Mosak, Carl Rogers, Albert Ellis, Arnold Lazarus, and Peggy Papp.

    It demonstrates to students how the concepts and theories of deviance can be applied to the world around them. The authors include both theoretical analyses and ethnographic illustrations of how deviance is socially constructed, organized, and managed. The Adlers challenge the reader to see the diversity and pervasiveness of deviance in society by covering a wide variety of deviant acts represented throughout the text. Most importantly, the Adlers present deviance as a component of society and examine the construction of deviance in terms of differential social power, whereby some members of society have the power to define other whole groups as "deviant." The book takes an "interactionist" or "constructionist" perspective on deviance, looking at the processes in society that create deviance. The authors have selected studies that are ethnographic in character, focusing on the experiences of deviants, the deviant-making process, and the ways in which people who are labeled as deviant in society react to that label.

    Readerswill find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation;probability; and more.-Emphasizes Microsoft Excel for number-crunching and computationsDownload a sample chapter.

    Emphasizing the role of affect, cognition, and behavior in the process of change, the book presents an integrative approach grounded in clien

    " This user-friendly text provides readers with a complete and compelling view of group work, including types of groups, development of groups, dynamics within groups, diversity and multicultural issues in groups, specialty groups, ethical and legal issues in groups, groups across the lifespan, theories of groups, and the history of group work. Well-written and filled with helpful and enjoyable illustrations, this sixth edition textbook helps students to fully understand the four basic types of groups therapy, counseling, guidance, and work/task through case histories, examples, and clear language. At the same time, "Groups: A Counseling Specialty" challenges readers to think through how they would handle various group situations and to reflect and learn from their own experiences in groups.

    Using examples from a wide range of disciplines, the authors give readers expert advice on the entire dissertation process: selecting a suitable topic; conducting a literature review; managing data overload; building an argument; presenting the material, data, and results; and working with faculty committees. The entire text has been updated and fresh examples have been added to it. This edition features an up-to-the-minute discussion of online research and the use of software packages. The authors have expanded their coverage of qualitative work, and added information about the use of mixed methods to the book. These updates and more make the Third Edition of Surviving Your Dissertation a must have resource for graduate students.Key Features of the Third Edition: Walks readers through the dissertation process as an ideal mentor would.Devotes more attention to qualitative work, and touches upon mixed methods.Discusses online library resources and completing one′s dissertation via the Internet.Features new material on the use of graphics.Includes information about informed consent forms.