Statistics, Concepts and Controversies PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Statistics, Concepts and Controversies PDF full book. Access full book title Statistics, Concepts and Controversies by David S. Moore. Download full books in PDF and EPUB format.
Author: David S. Moore
Publisher: Macmillan Higher Education
ISBN: 1464148740
Category : Mathematics
Languages : en
Pages : 673
Get Book
Book Description
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.
Author: David S. Moore
Publisher: Macmillan Higher Education
ISBN: 1464148740
Category : Mathematics
Languages : en
Pages : 673
Get Book
Book Description
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.
Author: Dennis K. Pearl
Publisher: Macmillan
ISBN: 9780716728511
Category : Business & Economics
Languages : en
Pages : 196
Get Book
Book Description
This supplement correlates the EESEE case studies on the Web site to the text, providing numerous applet exercises, and additional project ideas. It includes a password for accessing EESEE and other online student resources.
Author: Andrew A. Jawlik
Publisher: John Wiley & Sons
ISBN: 1119271983
Category : Mathematics
Languages : en
Pages : 448
Get Book
Book Description
Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: • Easy to Understand: Uses unique “graphics that teach” such as concept flow diagrams, compare-and-contrast tables, and even cartoons to enhance “rememberability.” • Easy to Use: Alphabetically arranged, like a mini-encyclopedia, for easy lookup on the job, while studying, or during an open-book exam. • Wider Scope: Covers Statistics I and Statistics II and Six Sigma Black Belt, adding such topics as control charts and statistical process control, process capability analysis, and design of experiments. As a result, this book will be useful for business professionals and industrial engineers in addition to students and professionals in the social and physical sciences. In addition, each of the 60+ concepts is covered in one or more articles. The 75 articles in the book are usually 5–7 pages long, ensuring that things are presented in “bite-sized chunks.” The first page of each article typically lists five “Keys to Understanding” which tell the reader everything they need to know on one page. This book also contains an article on “Which Statistical Tool to Use to Solve Some Common Problems”, additional “Which to Use When” articles on Control Charts, Distributions, and Charts/Graphs/Plots, as well as articles explaining how different concepts work together (e.g., how Alpha, p, Critical Value, and Test Statistic interrelate). ANDREW A. JAWLIK received his B.S. in Mathematics and his M.S. in Mathematics and Computer Science from the University of Michigan. He held jobs with IBM in marketing, sales, finance, and information technology, as well as a position as Process Executive. In these jobs, he learned how to communicate difficult technical concepts in easy - to - understand terms. He completed Lean Six Sigma Black Belt coursework at the IASSC - accredited Pyzdek Institute. In order to understand the confusing statistics involved, he wrote explanations in his own words and graphics. Using this material, he passed the certification exam with a perfect score. Those statistical explanations then became the starting point for this book.
Author: Harry R. Moody
Publisher: SAGE Publications
ISBN: 1506327990
Category : Social Science
Languages : en
Pages : 609
Get Book
Book Description
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.
Author: David S. Moore
Publisher: Palgrave Macmillan
ISBN: 1429224266
Category : Mathematics
Languages : en
Pages : 975
Get Book
Book Description
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.
Author: D. R. Cox
Publisher: Cambridge University Press
ISBN: 9781139459136
Category : Mathematics
Languages : en
Pages :
Get Book
Book Description
In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.
Author: David S. Moore
Publisher: Macmillan Higher Education
ISBN: 1319272487
Category : Mathematics
Languages : en
Pages : 1518
Get Book
Book Description
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.
Author:
Publisher:
ISBN: 9781319394998
Category :
Languages : en
Pages :
Get Book
Book Description
Author: Jeff Sauro
Publisher: Morgan Kaufmann
ISBN: 0128025484
Category : Computers
Languages : en
Pages : 350
Get Book
Book Description
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
Author: Jane E. Miller
Publisher: University of Chicago Press
ISBN: 022603819X
Category : Mathematics
Languages : en
Pages : 576
Get Book
Book Description
Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.
