For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students understand what statistics is about and learning the right questions to ask when analyzing data, rather than just memorizing procedures. This book takes the ideas that have turned statistics into a central science in modern life and makes them accessible, without compromising the necessary rigor. Students will enjoy reading this book, and will stay engaged with its wide variety of real-world data in the examples and exercises. The authors believe that it’s important for students to learn and analyze both quantitative and categorical data. As a result, the text pays greater attention to the analysis of proportions than many other introductory statistics texts. Concepts are introduced first with categorical data, and then with quantitative data. Also available with MyStatLab MyStatLab™ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. For this edition, new web apps with complementary exercises, a tightly integrated video program, and strong exercise coverage enhance student learning. Note: You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase boththe physical text and MyLab & Mastering, search for: 0134101677 / 9780134101675 * Statistics Plus New MyStatLab with Pearson eText -- Access Card Package Package consists of: 0321847997 / 9780321847997 * My StatLab Glue-in Access Card 032184839X / 9780321848390 * MyStatLab Inside Sticker for Glue-In Packages 0321997832 / 9780321997838 * Statistics: The Art and Science of Learning from Data
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Statistical Methods for the Social Sciences . Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes you have no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition gives you examples and exercises with a variety of “real data.” It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics–often a stumbling block for students–while avoiding reliance on an overly simplistic recipe-based approach to statistics.
The fourth edition of Business Statistics builds upon the easy-to-understand, problem-solving approach that was the hallmark of the previous editions. Through detailed discussions on procedures that facilitate interpretation of data, this book enables readers to make more considered and informed business decisions. Using tools of application and practice in a variety of solved examples and practice problems, this book will sharpen the students’ understanding of basic statistical techniques. Business Statistics, 4e, serves as a core textbook for students of management, commerce and computer science studying business statistics for degrees in BBA/MBA/PGDBM, BCom /MCom, CA/ICWA, and BE/ BTech /MCA as well as for those preparing for professional and competitive examinations. Key Features • Learning Objectives clearly outline the learning outcomes of each chapter • Case Studies illustrate a variety of business situations and suggest solutions to managerial issues using specific statistical techniques • A Chapter Concepts Quiz at the end of each chapter reinforces students' understanding of the basic principles and applications • Conceptual Questions, Self-Practice Problems, Review Self-Practice Problems with Hint and Answers enable students, after each chapter, to practice and then evaluate themselves
In this briefer version of Durand and Barlow's widely taught text, the authors explain abnormal psychology through their standard-setting integrative approach---the most modern, scientifically valid method for studying the subject. Through this integ
The sixth edition of this classic book remains a key text for occupational therapists, supporting their practice in working with people with physical impairments, stimulating reflection on the knowledge, skills and attitudes which inform practice, and encouraging the development of occupation-focused practice. Within this book, the editors have addressed the call by leaders within the profession to ensure that an occupational perspective shapes the skills and strategies used within occupational therapy practice. Rather than focusing on discrete diagnostic categories the book presents a range of strategies that, with the use of professional reasoning, can be transferred across practice settings. The new editors have radically updated the book, in response to the numerous internal and external influences on the profession, illustrating how an occupational perspective underpins occupational therapy practice. A global outlook is intrinsic to this edition of the book, as demonstrated by the large number of contributors recruited from across the world. Covers everything the student needs within the physical disorders part of their course Links theory of principles to practice and management Written and edited by a team of internationally experienced OT teachers, clinicians and managers Gives key references and further reading lists for more detailed study Written within a framework of lifespan development in line with current teaching and practice Includes practice scenarios and case studies Focuses on strategies Subtitle reflecting the primacy of occupation in occupational therapy practice Inclusion of practice scenarios to illustrate the application of theory to practice Features such as chapter summaries and key points, providing a quick overview of each chapter A focus on strategies rather than diagnostic categories Consideration of individuals, groups and communities An international perspective Language that is person-centred and inclusive New editorial team endorsed by the former editors including Annie Turner
Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.
First published in 1999, American Higher Education in the Twenty-First Century offered a comprehensive introduction to the central issues facing American colleges and universities. This thoroughly revised edition brings the classic volume up to date. The contributors have rewritten every chapter to address major changes in higher education, including the rise of organized social movements, the problem of income inequality and stratification, and the growth of for-profit and distance education. Three new chapters cover information technology, community colleges, and teaching and learning. This edition seeks to capture several crucial dynamics in the nexus of higher education and society. Placing higher education within its social and political contexts, the contributors discuss finance, federal and state governance, faculty, students, curriculum, and academic leadership. They also grapple with growing concerns about the future of the academy and reflect more deeply on the racial, ethnic, and socioeconomic diversity within higher education. No other book covers such wide-ranging issues under the broader theme of higher education’s relationship to society. Highly acclaimed and incorporating cutting-edge research, American Higher Education in the Twenty-First Century is now more useful and engaging than ever. Contributors: Michael N. Bastedo, Philip G. Altbach, Patricia J. Gumport, Benjamin Baez, Peter Riley Bahr, Joy Blanchard, Corbin M. Campbell, Melanie E. Corrigan, Peter D. Eckel, Roger L. Geiger, Lawrence E. Gladieux, Sara Goldrick-Rab, Jillian Leigh Gross, D. Bruce Johnstone, Adrianna Kezar, Jacqueline E. King, Aims C. McGuinness, Jr., Michael Mumper, Anna Neumann, Robert M. O’Neil, Laura W. Perna, Gary Rhoades, Roman Ruiz, Lauren Schudde, Sheila Slaughter, Daryl G. Smith
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features?further facilitate understanding:?examples of published research demonstrate the applicability of each chapter’s content; flowcharts?assist in choosing the most appropriate procedure;?end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online, and?extensive sets of exercises?help develop a deeper understanding of the subject.?Detailed solutions?for some of the exercises and?realistic data sets?are included on the website (DesigningExperiments.com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data.