Statistics For People Who Think They Hate Statistics
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Statistics For People Who Think They Hate Statistics
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Author : Neil J. Salkind
language : en
Publisher: SAGE Publications
Release Date : 2019-08-07
Statistics For People Who Think They Hate Statistics written by Neil J. Salkind and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-07 with Social Science categories.
Now in its Seventh Edition, Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics with new co-author Bruce B. Frey teaches an often intimidating subject with a humorous, personable, and informative approach that reduces statistics anxiety. With instruction in SPSS®, the authors guide students through basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more. The Seventh Edition includes new real-world examples, additional coverage on multiple regression and power and effect size, and a robust interactive eBook with video tutorials and animations of key concepts. In the end, students who (think they) hate statistics will understand how to explain the results of many statistical analyses and won’t be intimidated by basic statistical tasks.
Excel Statistics
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Author : Neil J. Salkind
language : en
Publisher: SAGE Publications
Release Date : 2010-07-14
Excel Statistics written by Neil J. Salkind and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-14 with Social Science categories.
Become a pro at using Excel for statistical analysis! Designed for users already familiar with basic computer operations, Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize the features of Microsoft Excel to answer both simple and complex questions about data analysis. Excel novices and experts alike will find this text not only practical but easy to use and engaging.
100 Questions And Answers About Statistics
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Author : Neil J. Salkind
language : en
Publisher: SAGE Publications
Release Date : 2014-04-30
100 Questions And Answers About Statistics written by Neil J. Salkind and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-30 with Social Science categories.
In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand basic statistical concepts. 100 Questions (and Answers) About Statistics addresses the essential questions that students ask about statistics in a concise and accessible way. It is perfect for instructors, students, and practitioners as a supplement to more comprehensive materials, or as a desk reference with quick answers to the most frequently asked questions.
Statistics For People Who Think They Hate Statistics
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Author : Neil J. Salkind
language : en
Publisher: SAGE
Release Date : 2006-07-14
Statistics For People Who Think They Hate Statistics written by Neil J. Salkind and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-14 with Computers categories.
Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.
Statistical Rethinking
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Author : Richard McElreath
language : en
Publisher: CRC Press
Release Date : 2018-01-03
Statistical Rethinking written by Richard McElreath and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-03 with Mathematics categories.
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Statistics For People Who Think They Hate Statistics
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Author : Neil J. Salkind
language : en
Publisher: SAGE Publications
Release Date : 2016-01-29
Statistics For People Who Think They Hate Statistics written by Neil J. Salkind and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-29 with Social Science categories.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
Seeing Statistics User S Guide
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Author : Gary H. McClelland
language : en
Publisher: Brooks/Cole
Release Date : 2000
Seeing Statistics User S Guide written by Gary H. McClelland and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
SeeinSEEING STATISTICS is an online product which addresses the differing learning styles of today's students. It presents the dynamic, visual nature of statistical concepts using interactive and engaging methods based on years of cognitive research and experience. SEEING STATISTICS uses over 150 Java Applets to create an intuitive learning environment and is surrounded by relevant links to examples, exercises, definitions, and search/navigation capabilities. A handbook accompanies SEEING STATISTICS which contains a password, navigation and exercises.
Thinking Through Statistics
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Author : John Levi Martin
language : en
Publisher: University of Chicago Press
Release Date : 2018-08-21
Thinking Through Statistics written by John Levi Martin and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Social Science categories.
Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.
No Bs Bad Stats
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Author : Ivory A. Toldson
language : en
Publisher: BRILL
Release Date : 2019-04-09
No Bs Bad Stats written by Ivory A. Toldson and has been published by BRILL this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-09 with Education categories.
A Brill | Sense Bestseller! What if everything you thought you knew about Black people generally, and educating Black children specifically, was based on BS (bad stats)? We often hear things like, “Black boys are a dying breed,” “There are more Black men in prison than college,” “Black children fail because single mothers raise them,” and “Black students don’t read.” In No BS, Ivory A. Toldson uses data analysis, anecdotes, and powerful commentary to dispel common myths and challenge conventional beliefs about educating Black children. With provocative, engaging, and at times humorous prose, Toldson teaches educators, parents, advocates, and students how to avoid BS, raise expectations, and create an educational agenda for Black children that is based on good data, thoughtful analysis, and compassion. No BS helps people understand why Black people need people who believe in Black people enough not to believe every bad thing they hear about Black people.
Teaching Statistics
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Author : Andrew Gelman
language : en
Publisher: OUP Oxford
Release Date : 2002-08-08
Teaching Statistics written by Andrew Gelman and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-08 with Mathematics categories.
Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.