No Frills Statistics
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No Frills Statistics
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Author : Susan H. Gray
language : en
Publisher: Rowman & Littlefield Publishers
Release Date : 1984
No Frills Statistics written by Susan H. Gray and has been published by Rowman & Littlefield Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Mathematics categories.
Special Features: --Each module chapter contains a review of the most important material from previous chapters --Each unit provides a clear, nonstatistical explanation of any symbols appearing in the formulas for that chapter. --Each chapter reviewing hypothesis-testing procedures contains its own distribution tables --An illustrative excercise is reviewed with each statistical technique introduced --Review questions are included in each chapter --Step-by-step procedure rather than drill is emphasized
Straightforward Statistics
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Author : Glenn Geher
language : en
Publisher: Oxford University Press, USA
Release Date : 2014
Straightforward Statistics written by Glenn Geher and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Medical categories.
Straightforward Statistics: Understanding the Tools of Research is a clear and direct introduction to statistics for the social, behavioral, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics. With step-by-step guidance on the nuts and bolts of computing these statistics, the book includes detailed tutorials how to use state-of-the-art software, SPSS, to compute the basic statistics employed in modern academic and applied research. Across 13 succinct chapters, this text presents statistics using a conceptual approach along with information on the relevance of the different tools in different contexts and summaries of current research examples. Students should find this book easy useful and engaging in its presentation while instructors should find it detailed, comprehensive, accessible, and helpful in complementing a basic course in statistics.
Basic Statistical Analysis
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Author : Richard C. Sprinthall
language : en
Publisher: Allyn & Bacon
Release Date : 1997
Basic Statistical Analysis written by Richard C. Sprinthall and has been published by Allyn & Bacon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Mathematics categories.
A textbook for a one-semester introductory statistics course for students in psychology or other social and health sciences, and with the addition of new material for majors in education and criminal justice as well. First published in 1982 and revised from the 1994 edition with includes new chapters on tests and measurements, additional table entries for the t test and Pearson r, more data problems, and a new appendix section on writing and typing a statistical research paper with the APA notation that is used throughout. The enclosed 3.5" disk is for an IBM PC. Annotation copyright by Book News, Inc., Portland, OR.
Chances Are
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Author : Stephen L. Slavin
language : en
Publisher: Rowman & Littlefield
Release Date : 1998
Chances Are written by Stephen L. Slavin and has been published by Rowman & Littlefield this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Mathematics categories.
A hands-on guide to learning statistics, discussing presentation, arithmetic operations, frequency distributions, percents, probability, and other topics; with chapter reviews, exercises, and solutions.
Behavioral Statistics Essentials
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Author : LAWRENCE G. HERRINGER
language : en
Publisher:
Release Date : 2022
Behavioral Statistics Essentials written by LAWRENCE G. HERRINGER and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Pc Mag
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Author :
language : en
Publisher:
Release Date : 1989-03-14
Pc Mag written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-03-14 with categories.
PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.
No Frills Physics
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Author : Matthew D. McCluskey
language : en
Publisher: CRC Press
Release Date : 2019-05-01
No Frills Physics written by Matthew D. McCluskey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-01 with Science categories.
This textbook provides everything you need to get through a basic physics course. It guides students through all the essentials with a concise review of the concept, simple illustrations to demonstrate it, worked problems to showcase how to apply it, and a short quiz for self-testing. Whereas other standard books can be overwhelming to students, the author shares what has worked with his own students, trimming back unnecessary detail and focusing on the core basic physical concepts required to gain solid footing. The full range of topics are addressed in a manner that facilitates understanding and will encourage students to continue forward with their learning.
Statistics For Non Statisticians
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Author : Birger Madsen
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-13
Statistics For Non Statisticians written by Birger Madsen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-13 with Mathematics categories.
This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes. The book is untraditional, both with respect to the choice of topics and the presentation. The topics were determined by what is most useful for practical statistical work: even experienced statisticians will find new topics or new approaches to traditional topics. The presentation is as non-mathematical as possible. Mathematical formulae are presented only if they are necessary for calculations and/or add to readers’ understanding. A sample survey is developed as a realistic example throughout the book, and many further examples are presented, which also use data spreadsheets from a supplementary website.
Understanding And Using Advanced Statistics
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Author : Jeremy J Foster
language : en
Publisher: SAGE
Release Date : 2006
Understanding And Using Advanced Statistics written by Jeremy J Foster and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Social Science categories.
The spread of sophisticated computer packages and the machinery on which to run them has meant that procedures which were previously only available to experienced researchers with access to expensive machines and research students can now be carried out in a few seconds by almost every undergraduate. Understanding and Using Advanced Statistics provides the basis for gaining an understanding of what these analytic procedures do, when they should be used, and what the results provided signify. This comprehensive textbook guides students and researchers through the transition from simple statistics to more complex procedures with accessible language and illustration.
A Computational Approach To Statistical Learning
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Author : Taylor Arnold
language : en
Publisher: CRC Press
Release Date : 2019-01-23
A Computational Approach To Statistical Learning written by Taylor Arnold and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-23 with Business & Economics categories.
A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods. The text contains annotated code to over 80 original reference functions. These functions provide minimal working implementations of common statistical learning algorithms. Every chapter concludes with a fully worked out application that illustrates predictive modeling tasks using a real-world dataset. The text begins with a detailed analysis of linear models and ordinary least squares. Subsequent chapters explore extensions such as ridge regression, generalized linear models, and additive models. The second half focuses on the use of general-purpose algorithms for convex optimization and their application to tasks in statistical learning. Models covered include the elastic net, dense neural networks, convolutional neural networks (CNNs), and spectral clustering. A unifying theme throughout the text is the use of optimization theory in the description of predictive models, with a particular focus on the singular value decomposition (SVD). Through this theme, the computational approach motivates and clarifies the relationships between various predictive models. Taylor Arnold is an assistant professor of statistics at the University of Richmond. His work at the intersection of computer vision, natural language processing, and digital humanities has been supported by multiple grants from the National Endowment for the Humanities (NEH) and the American Council of Learned Societies (ACLS). His first book, Humanities Data in R, was published in 2015. Michael Kane is an assistant professor of biostatistics at Yale University. He is the recipient of grants from the National Institutes of Health (NIH), DARPA, and the Bill and Melinda Gates Foundation. His R package bigmemory won the Chamber's prize for statistical software in 2010. Bryan Lewis is an applied mathematician and author of many popular R packages, including irlba, doRedis, and threejs.