Statistics Concepts And Controversies

This practical textbook by David Moore and William Notz introduces a conceptual approach to statistics and shows students how use these ideas to think about the statistical claims they see every day from polls, campaigns, advertising, public policy, and many different fields of study. The ultimate goal is to equip students with solid statistical reasoning skills that will help them understand impact of statistics on all aspects of their lives.

No textbook communicates the basics of statistical analysis to liberal arts students as effectively as the bestselling Statistics: Concepts and Controversies (SCC). And no text makes it easier for these students to understand and talk about statistical claims they encounter in commercials, campaigns, the media, sports, and elsewhere in their lives. The new edition offers SCC’s signature combination of engaging cases, real-life examples and exercises, helpful pedagogy, rich full-color design, and innovative media learning tools, all significantly updated.

There are books on statistical theory and books on statistical methods. This is neither. It is a book on statistical ideas and statistical reasoning and on their relevance to public policy and to the human sciences from medicine to sociology. We have included many elementary graphical and numerical techniques to give flesh to the ideas and muscle to the reasoning. Students learn to think about data by working with data. We have not, however, allowed technique to dominate concepts. Our intention is to teach verbally rather than algebraically, to invite discussion and even argument rather than mere computation, though some computation remains essential. The coverage is considerably broader than one might traditionally cover in a one-term course, as the table of contents reveals. In the spirit of general education, we have preferred breadth to detail. Despite its informal nature, SCC is a textbook. It is organized for systematic study and has abundant exercises, many of which ask students to offer a discussion or make a judgment. Even those admirable individuals who seek pleasure in uncompelled reading should look at the exercises as well as the text. Teachers should be aware that the book is more serious than its low mathematical level suggests. The emphasis on ideas and reasoning asks more of the reader than many recipe-laden methods texts. For the first time, SCC will publish with SaplingPlus as it's full course digital solution. We'll have a well developed library of both error specific feedback and generic feedback tutorial assessment, aligned to the main learning goals of the chapter and largely taken directly from the end-of-chapter exercises in the book. SaplingPlus will also host our robust suite of teaching and learning resources: Concept and Controversy videos, statistical applets, Learning Curve, data sets, and many more teaching and learning focused tools.

Presenting current research in an innovative text-reader format, Aging: Concepts and Controversies, Ninth Edition encourages students to become involved and take an informed stand on the major aging issues we face as a society. Not simply a summary of research literature, Harry R. Moody and Jennifer R. Sasser’s text focuses on controversies and questions, rather than on assimilating facts or arriving at a single "correct" view about aging and older people. Drawing on their extensive expertise, the authors first provide an overview of aging in three domains: aging over the life course, health care, and the socioeconomic aspects of aging. Each section is followed by a series of edited readings, offering different perspectives from experts and specialists on that subject. New readings focus on whether current federal spending on the elderly is sustainable and fair to other groups, how older consumers are reshaping the business landscape, and the challenges of marketing and selling to customers 60 and over. More emphasis is placed on how social class and inequality earlier in life can shape our final years and the number of older Americans living in poverty. The section on Aging and Health Care has been thoroughly updated to reflect the latest data about chronic diseases that affect the elderly, government spending on health care, and policy changes to programs like Medicaid and Medicare. The section on the Social and Economic Outlook for an Aging Society gives the most current picture of the racial and ethnic diversity of older Americans, their participation in the labor force, and their income and wealth.

This is a clear and innovative overview of statistics which emphasises major ideas, essential skills and real-life data. The organisation and design has been improved for the fifth edition, coverage of engaging, real-world topics has been increased and content has been updated to appeal to today's trends and research.

Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Includes new and revised information on standardized usability questionnaires Includes a completely new chapter introducing correlation, regression, and analysis of variance Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English