A software diskette provides an easy-to-use tool for students to derive probabilities for binomial.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    Packed with more than forty percent new and updated material, this edition shows business managers, marketing analysts, and data mining specialists how to harness fundamental data mining methods and techniques to solve common types of business problemsEach chapter covers a new data mining technique, and then shows readers how to apply the technique for improved marketing, sales, and customer supportThe authors build on their reputation for concise, clear, and practical explanations of complex concepts, making this book the perfect introduction to data miningMore advanced chapters cover such topics as how to prepare data for analysis and how to create the necessary infrastructure for data miningCovers core data mining techniques, including decision trees, neural networks, collaborative filtering, association rules, link analysis, clustering, and survival analysis

    Cases, examples and problems from a variety of project types are used to illustrate the text.

    The reorganized text reflects a more balanced coverage of both quantitative and qualitative methodologies. Unique features of this revised edition include an approachable text your students won't mind reading and will want to keep; the accessible writing style, clear and concise explanations, and humorous tone demystify the research process; eleven cumulative Tasks throughout the text provide practice and skill development in doing research, step by step; expanded coverage of qualitative research and mixed methods Chapter 16 covering Narrative Research, and Chapter 17 covering Ethnographic Research, are new to this edition. Chapter 19, Mixed Methods, is also new to this edition. There is an expanded coverage of technology and an increased coverage of how to use technology in the research process. The 39 articles provided in the package (Text, Student Study Guide, and Website) are accompanied by a variety of pedagogical aids to help students learn to read research. research.

    You will have numerous opportunities to practice statistical techniques through learning checks, examples, demonstrations, and problems. Exam preparation is made easy with a student companion website that provides tutorials, crossword puzzles, flashcards, learning objectives, and more!

    The text offers a flexible organization, enabling instructors to adapt the book to their particular courses. The book is both complete and careful, and it continues to maintain its emphasis on algorithms and applications. Excellent exercise sets allow students to perfect skills as they practice. This new edition continues to feature numerous computer science applications-making this the ideal text for preparing students for advanced study.

    It can be used in a variety of disciplines and is ideal for an introductory comprehensive undergraduate or graduate level course. Through its conversational, informal style it makes material that is often challenging for students both accessible and understandable. The Research Methods Knowledge Base, 3e covers everything from the development of a research question to the writing of a final report, describing both practical and technical issues of sampling, measurement, design and analysis.

    Her writing style and consistent use of examples and case studies results in a text that undergraduates students will find easy to understand.

    I've examined every one and Cipani's is clearly the best. The assessment part is great, and I particularly like the protocol format for interventions. Cipani's text nicely fills a big gap between research and application. Were I teaching a seminar to clinicians, I think the text would be perfect. -- Brian A. Iwata, PhD, University of FloridaProfessionals who work in mental health and educational settings are frequently faced with clients (children, adolescents, adults) who engage in serious problem behaviors. Such behaviors often impact the client's welfare and ability to live, work, and be educated in mainstream environments. Children and adolescents who manifest these behaviors are particularly vulnerable to these disruptions, which can have a far-reaching impact on their development and future prospects.This practical book, written both for clinician/educators and high-level students, creates a function-based behavioral diagnostic classification system, the first of its kind, as well as treatment protocols that fit such a diagnostic system. Heavily practitioner-oriented, the book will address the full range of behaviors - ranging from aggression, self-injury, stereotypic behavior (repetitive body movements), tantrums, and non-compliance - with real life and hypothetical cases to help clinicians think through the full range of treatment options. Unique in moving beyond functional assessment to assessment diagnosis and treatment, this book will be highly useful for mental health clinicians, students of Advanced Behavior Analysis, and special education practitioners among others.Professor Cipani has also prepared extensive ancillary material for use in teaching this book and will make it available to anyone who has adopted it for course use. Instructors who have adopted the title may inquire of Professor Cipani at ennioc26@hotmail.com

    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

    This easy-to-use guide is updated and expanded to include new computer and technology signs and offers a fast and simple approach to learning. Includes:- Vocabulary reviews- Fingerspelling exercises- Sign matching and memory aids- A complete glossary and a comprehensive index- Clear instructive drawings

    One of the all time best-sellers, this text is widely used because of its careful, streamlined, and intuitive chapter organization. Case & Fair, present a very precise and simplified microeconomic model first, before introducing all the exceptions and subtleties of a more complex economic world. Only after this simplified model is developed, do the authors give a thorough treatment of market imperfections, externalities, public finance, and international economics. (A detailed summary of this approach can be found on the page directly following the inside front cover).

    It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.

    The cutting-edge 5th Edition continues to redefine what principles of management texts should look, sound, and feel like. As an author team Gareth Jones and Jennifer George are uniquely qualified to write about both the strategic and organizational challenges managers face. Contemporary Management is a comprehensive text that surveys the theoretical underpinnings of modern management thought and research. Through a variety of examples from small, medium, and large companies it shows the reader how those ideas are used by practicing managers. A hallmark of this text is its focus on the Manager as a Person, which discusses managers as real people with their own personalities, strengths, weaknesses, opportunities, and problems.