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View a Panopto recording of textbook author Daren Starnes detailing ten reasons the new fourth edition of The Practice of Statistics is the right choice for the AP* Statistics course. Watch instructor video reviews here. Available for your Fall 2010 Course! Request Sample Chapter 3 here. The most thorough and exciting revision to date, The Practice of Statistics 4e is a text that fits all AP* Statistics classrooms. Authors Starnes, Yates and Moore drew upon the guidance of some of the most notable names in AP* and their students to create a text that fits today’s classroom. The new edition comes complete with new pedagogical changes, including built-in AP* testing, four-step examples, section summaries, “Check Your Understanding” boxes and more. The Practice of Statistics long stands as the only high school statistics textbook that directly reflects the College Board course description for AP* Statistics. Combining the data analysis approach with the power of technology, innovative pedagogy, and a number of new features, the fourth edition will provide you and your students with the most effective text for learning statistics and succeeding on the AP* Exam.
Air Pollution Calculations introduces the equations and formulae that are most important to air pollution, but goes a step further. Most texts lack examples of how these equations and formulae apply to the quantification of real-world scenarios and conditions. The ample example calculations apply to current air quality problems, including emission inventories, risk estimations, biogeochemical cycling assessments, and efficiencies in air pollution control technologies. In addition, the book explains thermodynamics and fluid dynamics in step-by-step and understandable calculations using air quality and multimedia modeling, reliability engineering and engineering economics using practical examples likely to be encountered by scientists, engineers, managers and decision makers. The book touches on the environmental variables, constraints and drivers that can influence pollutant mass, volume and concentrations, which in turn determine toxicity and adverse outcomes caused by air pollution. How the pollutants form, move, partition, transform and find their fate are explained using the entire range of atmospheric phenomena. The control, prevention and mitigation of air pollution are explained based on physical, chemical and biological principles which is crucial to science-based policy and decision-making. Users will find this to be a comprehensive, single resource that will help them understand air pollution, quantify existing data, and help those whose work is impacted by air pollution. - Explains air pollution in a comprehensive manner, enabling readers to understand how to measure and assess risks to human populations and ecosystems actually or potentially exposed to air pollutants - Covers air pollution from a multivariate, systems approach, bringing in atmospheric processes, health impacts, environmental impacts, controls and prevention - Facilitates an understanding of broad factors, like climate and transport, that influence patterns and change in pollutant concentrations, both spatially and over time
Like earlier editions, this thoroughly updated sixth edition of the classic textbook provides readers with a basic understanding of the Library of Congress Classification system and its applications. The Library of Congress Classification system is used in academic, legal, medical, and research libraries throughout North America as well as worldwide; accordingly, catalogers and librarians in these settings all need to be able to use it. The established gold standard text for Library of Congress Classification (LCC), the sixth edition of Guide to the Library of Congress Classification updates and complements the classic textbook's coverage of cataloging in academic and research libraries. Clear and easy to understand, the text describes the reasoning behind assigning subject headings and subheadings, including use of tables; explains the principles, structure, and format of LCC; details notation, tables, assigning class numbers, and individual classes; and covers classification of special types of library materials. The last chapter of this perennially useful resource addresses the potential role of classification in libraries of the future.
This undergraduate statistical quality assurance textbook clearly shows with real projects, cases and data sets how statistical quality control tools are used in practice. Among the topics covered is a practical evaluation of measurement effectiveness for both continuous and discrete data. Gauge Reproducibility and Repeatability methodology (including confidence intervals for Repeatability, Reproducibility and the Gauge Capability Ratio) is thoroughly developed. Process capability indices and corresponding confidence intervals are also explained. In addition to process monitoring techniques, experimental design and analysis for process improvement are carefully presented. Factorial and Fractional Factorial arrangements of treatments and Response Surface methods are covered. Integrated throughout the book are rich sets of examples and problems that help readers gain a better understanding of where and how to apply statistical quality control tools. These large and realistic problem sets in combination with the streamlined approach of the text and extensive supporting material facilitate reader understanding. Second Edition Improvements Extensive coverage of measurement quality evaluation (in addition to ANOVA Gauge R&R methodologies) New end-of-section exercises and revised-end-of-chapter exercises Two full sets of slides, one with audio to assist student preparation outside-of-class and another appropriate for professors’ lectures Substantial supporting material Supporting Material Seven R programs that support variables and attributes control chart construction and analyses, Gauge R&R methods, analyses of Fractional Factorial studies, Propagation of Error analyses and Response Surface analyses Documentation for the R programs Excel data files associated with the end-of-chapter problem sets, most from real engineering settings
Professor Herbert A. David of Iowa State University will be turning 70 on December 19, 1995. He is reaching this milestone in life with a very distinguished career as a statistician, educator and administrator. We are bringing out this volume in his honor to celebrate this occasion and to recognize his contributions to order statistics, biostatistics and design of experiments, among others; and to the statistical profession in general. With great admiration, respect and pleasure we dedicate this festschrift to Professor Herbert A. David, also known as Herb and H.A. among his friends, colleagues and students. When we began this project in Autumn 1993 and contacted potential contributors from the above group, the enthu siasm was phenomenal. The culmination of this collective endeavor is this volume that is being dedicated to him to celebrate his upcoming birthday. Several individuals have contributed in various capacities to the success ful completion of this project. We sincerely thank the authors of the papers appearing here. Without their dedicated work, we would just have this pref ace! Many of them have served as (anonymous) referees as well. In addition, we are thankful to the following colleagues for their time and advice: John Bunge (Cornell), Z. Govindarajulu (Kentucky), John Klein (Medical U.
