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Whether you’re a student or an adult looking to refresh your knowledge, Barron’s Painless Statistics provides review and practice in an easy, step-by-step format. An essential resource for: Virtual learning Homeschool Learning pods Supplementing classes/in-person learning Inside you’ll find: Clear examples for all topics, including data and distributions, basic probability, confidence intervals, bivariate statistics, and much more Diagrams, charts, and instructive math illustrations Painless tips, common pitfalls, and informative sidebars Math talk boxes that translate complex “math speak” into easy-to-understand language Brain Tickler quizzes throughout each chapter to test your progress
"Whether you're a student or an adult looking to refresh your knowledge, [this book] provides review and practice in an easy, step-by-step format"--
For most of us, "painless" is not the word that comes to mind when we think of statistics, but author and educator Liwen Vaughan wants to change that. In this unique and useful book, Vaughan clearly explains the statistical methods used in information science research, focusing on basic logic rather than mathematical intricacies. Her emphasis is on the meaning of statistics, when and how to apply them, and how to interpret the results of statistical analysis. Through the use of real-world examples, she shows how statistics can be used to improve services, make better decisions, and conduct more effective research. Whether you are doing statistical analysis or simply need to better understand the statistics you encounter in professional literature and the media, this book will be a valuable addition to your personal toolkit. Includes more than 80 helpful figures and tables, 7 appendices, bibliography, index.
This updated edition of Painless Evidence-Based Medicine presents basic concepts and application of research statistics in simple and practical manner creating an introductory approach to the complex and technical subject of evidence-based medicine from experienced teachers. A simplified introductory approach to the complex and technical subject of evidence-based medicine from experienced teachers Approaches learning from the vantage point of clinical questions on therapy, diagnosis, prognosis or harm rather than the framework of study designs Provides tables and boxed case studies throughout highlighting key topics, or difficult issues, in an easy to read manner Emphasizes applicability of EBM, encouraging readers to dissect the evidence and how results can be applied to individual patients with different circumstances, varying values and preferences New to the Second Edition are chapters on health screening, clinical practice guidelines, and major updates incorporating recommended trial criteria
Whether you’re a student or an adult looking to refresh your knowledge, Barron’s Painless Calculus provides review and practice in an easy, step-by-step format. An essential resource for: Virtual Learning Homeschool Learning pods Supplementing classes/in-person learning Inside you’ll find: Examples of all topics, including limits and continuity, derivatives, curve sketching, definite integrals, and much more Diagrams, charts, and instructive math illustrations Painless tips and common pitfalls Math talk boxes that translate complex “math speak” into easy-to-understand language Brain Tickler quizzes throughout each chapter to test your progress
Barron's makes writing fun and PAINLESS! Painless Writing provides lighthearted, step-by-step learning and includes: Painless writing techniques with sample writing passages throughout Instruction on expressing your thoughts clearly, enlivening your writing with vivid images, and avoiding the dull, passive voice Painless tips, common pitfalls, instructive tables,“brain tickler” quizzes and answers throughout each chapter, and more.
Whether you’re a student or an adult looking to refresh your knowledge, Barron’s Painless Biology provides review and practice in an easy, step-by-step format. An essential resource for: Virtual Learning Homeschool Learning pods Supplementing classes/in-person learning Inside you’ll find: Comprehensive coverage of biology, including, nature of science, cell anatomy, biochemistry, animals and plants, genetics, and much more Diagrams, charts, and instructive science illustrations Painless tips, common pitfalls, and informative sidebars Brain Tickler quizzes and answers throughout each chapter to test your progress
The implications for philosophy and cognitive science of developments in statistical learning theory. In Reliable Reasoning, Gilbert Harman and Sanjeev Kulkarni—a philosopher and an engineer—argue that philosophy and cognitive science can benefit from statistical learning theory (SLT), the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors—a central topic in SLT. After discussing philosophical attempts to evade the problem of induction, Harman and Kulkarni provide an admirably clear account of the basic framework of SLT and its implications for inductive reasoning. They explain the Vapnik-Chervonenkis (VC) dimension of a set of hypotheses and distinguish two kinds of inductive reasoning. The authors discuss various topics in machine learning, including nearest-neighbor methods, neural networks, and support vector machines. Finally, they describe transductive reasoning and suggest possible new models of human reasoning suggested by developments in SLT.
Includes section, "Recent book acquisitions" (varies: Recent United States publications) formerly published separately by the U.S. Army Medical Library.
Even though an understanding of experimental design and statistics is central to modern biology, undergraduate and graduate students studying biological subjects often lack confidence in their numerical abilities. Allaying the anxieties of students, Introduction to Statistics for Biology, Third Edition provides a painless introduction to the subject while demonstrating the importance of statistics in contemporary biological studies. New to the Third Edition More detailed explanation of the ideas of elementary probability to simplify the rationale behind hypothesis testing, before moving on to simple tests An emphasis on experimental design and data simulation prior to performing an experiment A general template for carrying out statistical tests from hypothesis to interpretation Worked examples and updated Minitab analyses and graphics Downloadable resources contains a free trial version of Minitab Using Minitab throughout to present practical examples, the authors emphasize the interpretation of computer output. With its nontechnical approach and practical advice, this student-friendly introductory text lays the foundation for the advanced study of statistical analysis.