Statistics for People Who (Think They) Hate Statistics PDF Download
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Author: Neil J. Salkind
Publisher: SAGE
ISBN: 9781412924825
Category : Computers
Languages : en
Pages : 428
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Book Description
Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.
Author: Neil J. Salkind
Publisher: SAGE
ISBN: 9781412924825
Category : Computers
Languages : en
Pages : 428
Get Book Here
Book Description
Now in its third edition, this title teaches an often intimidating and difficult subject in a way that is informative, personable, and clear.
Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 1544324561
Category : Social Science
Languages : en
Pages : 701
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Book Description
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.
Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 1483374106
Category : Social Science
Languages : en
Pages : 620
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Book Description
Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.
Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category : Computers
Languages : en
Pages : 617
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Book Description
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Author: R. Mark Sirkin
Publisher: SAGE
ISBN: 9781412905466
Category : Mathematics
Languages : en
Pages : 636
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Book Description
Do your students lack confidence in their ability to handle quantitative work? Do they get confused about how to enter statistical data on SAS, SPSS, and Excel programs? The new Third Edition of the bestselling Statistics for the Social Sciences is the solution to these dilemmas Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fearing them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained. The book includes lists of key concepts, chapter exercises, topic boxes, and more
Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 1544381840
Category : Social Science
Languages : en
Pages : 450
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Book Description
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. A Complete Teaching & Learning Package accompanies the Seventh Edition! Interactive eBook: Save when bundled with the Seventh Edition. Includes access to SAGE Premium Video, multimedia tools, and much more Use bundle ISBN: 978-1-5443-9339-1. SAGE Premium Video includes animated Core Concepts in Stats Videos, Lightboard Lecture Videos from Bruce B. Frey, and tutorial videos for end-of-chapter of SPSS problems. Only available in the Interactive eBook. SAGE edge: FREE online resources for students that make learning easier. SAGE coursepacks: FREE! Easily import our quality instructor and student resource content into your school’s learning management system (LMS) and save time. Study Guides: only $5 when bundled with Statistics for People Who (Think They) Hate Statistics, 7e. To order: Study Guide and Interactive eBook bundle (ISBN 978-1-5443-9752-8) Study Guide for Psychology and Interactive eBook bundle (ISBN 978-1-5443-9753-5) Study Guide for Education and Interactive eBook bundle (ISBN 978-1-5443-9754-2) Study Guide for Health & Nursing and Interactive eBook bundle (ISBN 978-1-5443-9755-9)
Author:
Publisher:
ISBN: 9781071811757
Category :
Languages : en
Pages :
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Book Description
Author: Andrew Gelman
Publisher: OUP Oxford
ISBN: 0191606995
Category : Mathematics
Languages : en
Pages : 353
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Book Description
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.
Author: David Moore
Publisher: W H Freeman & Company
ISBN: 9781429298674
Category : Mathematics
Languages : en
Pages : 497
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Book Description
Author: Richard McElreath
Publisher: CRC Press
ISBN: 1315362619
Category : Mathematics
Languages : en
Pages : 488
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Book Description
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.
