The book acts as a ready reckoner for students to brush up their basics and memorize important facts, figures, and concepts. About the Author: A P Bhardwaj A.P. Bhardwaj is an author-trainer-tutor for CLAT, SET, LSAT, and other law entrance examinations. He has authored more than 10 books for various competitive examinations. He is a regular contributor in the leading newspapers and monthly journals for all competitive examinations. He runs his own training institute named Innovation in Chandigarh.

    From Bo's heart to yours, he shares common stories with uncommon stories with uncommon wisdom.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    Aiming to tell the dark secrets of computer arithmetic, this title is suitable for library developers, compiler writers, and lovers of elegant hacks.

    Weaving together his immersive interest in people and history with insights gathered from his own experiences, Stephen Wolfram gives an ennobling look at some of the individuals whose ideas and creations have helped shape our world today. Contents includes biographical sketches of: Richard Feynman Kurt Godel Alan Turing John von Neumann George Boole Ada Lovelace Gottfried Leibniz Benoit Mandelbrot Steve Jobs Marvin Minsky Russell Towle Bertrand Russell Alfred Whitehead Richard Crandall Srinivasa Ramanujan Solomon Golomb

    Students pursuing diploma courses as well as those appearing for AIME examinations would also find this book extremely useful. Beginning with the fundamentals of electricity and electrical elements, the book gives an exhaustive presentation of network theory and analysis, electromagnetic theory and energy conversion, alternating quantities, alternating and direct current machines, basic analogue instruments and ends with a brief introduction to power systems. Practical applications relating concepts to everyday environment are included wherever relevant. Emphasizing on the fundamental concepts the book enhances understanding and develops problem-solving skills by providing a large number of worked examples and chapter end exercises.

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

    Provides a review of introductory noncalculus-based physics for those who do not have a strong background in mathematics.