PDF Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R with Free PDF EDITION Download Now!

Audio Book Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R with Free EASY Reading Download Now!

 4,8

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Audio Book Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R with Free EASY Reading Download Now!

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.   Pedagogical Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets. 

At this time of writing, The Mobi Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R has garnered 10 customer reviews with rating of 5 out of 5 stars. Not a bad score at all as if you round it off, it’s actually a perfect TEN already. From the looks of that rating, we can say the Mobi is Good TO READ!

Audio Book Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R with Free EASY Reading!

This book is very well written and in each chapter, Dr Stanton presents the frequentist approach and then the Bayesian approach. This contrast is extremely easy to understand and the author's use of examples in R provides an avenue to easily apply and follow along on your own. I originally purchased this book for a Masters level statistics course but find myself referencing it almost every day in my professional work as a Data Scientist.The book is structured in chapters covering the following general topics:General statistics vocabularyReasoning with probabilityLogic of inference and confidence intervalsHypothesis testingComparing groups and analyzing experimentsCorrelation matrices and variable associationLinear regressionAnova and regressionLogistic regressionTime series analysisDealing with too many variables

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