Title Reasoning with data : an introduction to traditional and Bayesian statistics using R / Jeffrey M. Stanton

Published New York : The Guilford Press, [2017] ©2017

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Description 1 online resource (x, 325 pages) Contents Statistical vocabulary -- Reasoning with probability -- Probabilities in the long run -- Introducing the logic of inference using confidence intervals -- Bayesian and traditional hypothesis testing -- Comparing groups and analyzing experiments -- Associations between variables -- Linear multiple regression -- Interactions in ANOVA and regression -- Logistic regression -- Analyzing change over time -- Dealing with too many variables -- All together now Summary Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources.-- Provided by Publisher Bibliography Includes bibliographical references and index Notes Print version record Subject Bayesian statistical decision theory -- Problems, exercises, etc Bayesian statistical decision theory -- Data processing Mathematical statistics -- Problems, exercises, etc Mathematical statistics -- Data processing. R (Computer program language) Statistics. Statistics as Topic Bayes Theorem statistics. MATHEMATICS -- Applied. MATHEMATICS -- Probability & Statistics -- General. Statistics Bayesian statistical decision theory Bayesian statistical decision theory -- Data processing Mathematical statistics Mathematical statistics -- Data processing R (Computer program language) Genre/Form Problems and exercises Form Electronic book LC no. 2017004984 ISBN 9781462530298 146253029X

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