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Basic Statistics
New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research. Addressing the need for a modernized treatment of these statistical applications, Basic Statistics, Fourth Edition presents relevant, up-to-date coverage of research methodology using careful explanations of basic statistics and how they are used to address practical problems that arise in the medical and public health settings. Through concise and easy-to-follow presentations, readers will learn to interpret and examine data by applying common statistical t...
SAT For Dummies
This new edition of The SAT For Dummies gives you the information you need to focus on those areas that are most problematic and to ensure that you achieve the best possible score. Whether you're struggling with math, reading, or writing essays, this updated guide offers advice for tackling the toughest questions, as well as hints and tips for making the most of the time available to complete each section. Features four full-length practice tests (two more than prior editions) with detailed answers and explanations Provides reviews of foundational concepts for every section, from identifying root words and the correct use of commas to solving math word problems and using the quadratic formula Includes complete explanations for every question type and practice problems for every section of the test The SAT For Dummies gives you the edge you need to successfully achieve the highest score possible!
Current Catalog
First multi-year cumulation covers six years: 1965-70.
Learning from Data
Ten years ago Bill Gale of AT&T Bell Laboratories was primary organizer of the first Workshop on Artificial Intelligence and Statistics. In the early days of the Workshop series it seemed clear that researchers in AI and statistics had common interests, though with different emphases, goals, and vocabularies. In learning and model selection, for example, a historical goal of AI to build autonomous agents probably contributed to a focus on parameter-free learning systems, which relied little on an external analyst's assumptions about the data. This seemed at odds with statistical strategy, which stemmed from a view that model selection methods were tools to augment, not replace, the abilities...
Out of the Lecture Hall and Into the Classroom
This study used data from the ongoing Baccalaureate and Beyond Longitudinal Study to examine college graduates' preparation for and entry into teaching, as well as their movement into and out of the profession over time. Text, seven figures, and 15 tables detail the data on the "teacher pipeline"; examine who enters it (such as race/ethnicity and gender); provide data on undergraduate academic experiences of teachers including major field of study, type of postsecondary institution attended, college entrance examination scores and grade point averages, and undergraduate and advanced course taking; and also look at early teaching experiences. The report reaches the conclusion that graduates w...
