Title
Introduction to Modern Statistics,Used
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Introduction to Modern Statistics is a reimagining of a previous title, Introduction to Statistics with Randomization and Simulation. The new book puts a heavy emphasis on exploratory data analysis (specifically exploring multivariate relationships using visualization, summarization, and descriptive models) and provides a thorough discussion of simulationbased inference using randomization and bootstrapping, followed by a presentation of the related Central Limit Theorem based approaches. Other highlights include:Web native book. The online book is available in HTML, which offers easy navigation and searchability in the browser. The book is built with the bookdown package and the source code to reproduce the book can be found on GitHub. Along with the bookdown site, this book is also available as a PDF and in paperback.Tutorials. While the main text of the book is agnostic to statistical software and computing language, each part features 48 interactive R tutorials (for a total of 32 tutorials) that walk you through the implementation of the part content in R with the tidyverse for data wrangling and visualisation and the tidyversefriendly infer package for inference. The selfpaced and interactive R tutorials were developed using the learnr R package, and only an internet browser is needed to complete them.Labs. Each part also features 12 R based labs. The labs consist of data analysis case studies and they also make heavy use of the tidyverse and infer packages.Datasets. Datasets used in the book are marked with a link to where you can find the raw data. The majority of these point to the openintro package. You can install the openintro package from CRAN or get the development version on GitHub.
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- Q: What is the main focus of 'Introduction to Modern Statistics'? A: The book emphasizes exploratory data analysis, particularly in exploring multivariate relationships through visualization, summarization, and descriptive models.
- Q: Is there an online version of the book? A: Yes, the book is available online in HTML format, offering easy navigation and searchability in a web browser.
- Q: What kind of tutorials does this book include? A: The book features 32 interactive R tutorials that guide readers through implementing content using R with the tidyverse for data wrangling and visualization.
- Q: What are the labs mentioned in the book? A: Each part of the book includes 1-2 R based labs consisting of data analysis case studies that utilize the tidyverse and infer packages.
- Q: How can I access the datasets used in the book? A: Datasets are linked within the book, primarily pointing to the openintro package, which can be installed from CRAN or accessed on GitHub.
- Q: Who is the author of 'Introduction to Modern Statistics'? A: The book is authored by Mine Çetinkaya-Rundel.
- Q: What is the publication date of this book? A: The book was published on June 12, 2021.
- Q: What is the binding type of 'Introduction to Modern Statistics'? A: This book is available in paperback binding.
- Q: How many pages does the book have? A: The book contains a total of 549 pages.
- Q: Is this book suitable for beginners in statistics? A: Yes, while it covers advanced topics, it is designed to be accessible for readers with various levels of statistical knowledge.