Statistics For People Who Think They Hate Statistics Using R
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Statistics For People Who Think They Hate Statistics Using R
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Author : Neil J. Salkind
language : en
Publisher: SAGE Publications
Release Date : 2019-07-24
Statistics For People Who Think They Hate Statistics Using R 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 2019-07-24 with Social Science categories.
Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R. New co-author Leslie A. Shaw carries forward Salkind’s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.
Statistics For People Who Think They Hate Statistics Using R
DOWNLOAD
Author : Neil J. Salkind
language : en
Publisher: SAGE Publications
Release Date : 2019-07-24
Statistics For People Who Think They Hate Statistics Using R 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 2019-07-24 with Social Science categories.
Neil J. Salkind’s bestselling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS® and Excel® versions are joined by a text for use with the R software, Statistics for People Who (Think They) Hate Statistics Using R. New co-author Leslie A. Shaw carries forward Salkind’s signature humorous, personable, and informative approach as the text guides students in a grounding of statistical basics and R computing, and the application of statistics to research studies. The book covers various basic and advanced statistical procedures, from correlation and graph creation to analysis of variance, regression, non-parametric tests, and more.
Statistics For People Who Think They Hate Statistics
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Author : Neil J. Salkind
language : en
Publisher: SAGE
Release Date : 2010
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 2010 with Computers categories.
The bestselling text Statistics for People Who (Think They) Hate Statistics is the basis for this completely adapted Excel version. Author Neil J. Salkind presents an often intimidating and difficult subject in a way that is informative, personable, and clear. Researchers and students who find themselves uncomfortable with the analysis portion of their work will appreciate this book’s unhurried pace and thorough, friendly presentation. Salkind begins the Excel version with a complete introduction to the software, and shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques. He then walks students through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Pedagogical features include sidebars offering additional technical information about the topic and set-off points that reinforce major themes. Finally, questions to chapter exercises, a complete glossary, and extensive Excel functionality are located at the back of the book.
Learning Statistics With R
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Author : Danielle Navarro
language : en
Publisher:
Release Date : 2018
Learning Statistics With R written by Danielle Navarro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
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.
A Guide To R For Social And Behavioral Science Statistics
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Author : Brian Joseph Gillespie
language : en
Publisher: SAGE Publications
Release Date : 2020-02-07
A Guide To R For Social And Behavioral Science Statistics written by Brian Joseph Gillespie and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-07 with Social Science categories.
A Guide to R for Social and Behavioral Science Statistics is a short, accessible book for learning R. This handy guide contains basic information on statistics for undergraduates and graduate students, shown in the R statistical language using RStudio®. The book is geared toward social and behavioral science statistics students, especially those with no background in computer science. Written as a companion book to be used alongside a larger introductory statistics text, the text follows the most common progression of statistics for social scientists. The guide also serves as a companion for conducting data analysis in a research methods course or as a stand-alone R and statistics text. This guide can teach anyone how to use R to analyze data, and uses frequent reminders of basic statistical concepts to accompany instructions in R to help walk students through the basics of learning how to use R for statistics.
Essential Statistics
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Author : David S. Moore
language : en
Publisher: W. H. Freeman
Release Date : 2010
Essential Statistics written by David S. Moore and has been published by W. H. Freeman this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Mathematical statistics categories.
W.H. Freeman is excited to be publishing a new text by David Moore: Essential Statistics. David Moore's considerable experience as a statistician and instructor, and his commitment to producing high-quality, innovative introductory statistics textbooks motivated him to create Essential Statistics. The text offers the same highly successful approach and pedagogy of David Moore's bestselling The Basic Practice of Statistics (BPS), Fifth Edition, but in a briefer, more concise format. Through careful rewriting, he has shortened and simplified explanations, to better highlight the key, essential, statistical ideas and methods students need to know. The text is based on three principles: balanced content, the importance of ideas, and experience with data. Using a "just the basics" approach, the text clarifies and simplifies important concepts and methods, while engaging students with contemporary, realistic examples. Throughout the book, exercises help students check and apply their skills. A four-step problem-solving process in examples and exercises encourage good habits that go beyond graphs and calculations to ask, "What do the data tell me?" Essential Statistics is what its name suggests: a basic introduction to statistical ideas and methods that aims to equip students to carry out common statistical procedures and to follow statistical reasoning in their fields of study and in their future employment.
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.
Understanding Statistics Using R
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Author : Randall Schumacker
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-24
Understanding Statistics Using R written by Randall Schumacker 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 2013-01-24 with Computers categories.
This book was written to provide resource materials for teachers to use in their introductory or intermediate statistics class. The chapter content is ordered along the lines of many popular statistics books so it should be easy to supplement the content and exercises with class lecture materials. The book contains R script programs to demonstrate important topics and concepts covered in a statistics course, including probability, random sampling, population distribution types, role of the Central Limit Theorem, creation of sampling distributions for statistics, and more. The chapters contain T/F quizzes to test basic knowledge of the topics covered. In addition, the book chapters contain numerous exercises with answers or solutions to the exercises provided. The chapter exercises reinforce an understanding of the statistical concepts presented in the chapters. An instructor can select any of the supplemental materials to enhance lectures and/or provide additional coverage of concepts and topics in their statistics book.
Openintro Statistics
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Author : David Diez
language : en
Publisher:
Release Date : 2015-07-02
Openintro Statistics written by David Diez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-02 with categories.
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.