Project-Based R Companion to Introductory Statistics
Project-Based R Companion to Introductory Statistics: A Project-Based Approach using R
by Chelsea Myers
English | 2021 | ISBN: 0367262088 | 185 Pages | PDF | 7 MB
by Chelsea Myers
English | 2021 | ISBN: 0367262088 | 185 Pages | PDF | 7 MB
Project-Based R Companion to Introductory Statistics is envisioned as a companion to a traditional statistics or biostatistics textbook, with each chapter covering traditional topics such as descriptive statistics, regression, and hypothesis testing. However, unlike a traditional textbook, each chapter will present its material using a complete step-by-step analysis of a real publicly available dataset, with an emphasis on the practical skills of testing assumptions, data exploration, and forming conclusions. The chapters in the main body of the book include a worked example showing the R code used at each step followed by a multi-part project for students to complete. These projects, which could serve as alternatives to traditional discrete homework problems, will illustrate how to "put the pieces together" and conduct a complete start-to-finish data analysis using the R statistical software package. At the end of the book, there are several projects that require the use of multiple statistical techniques that could be used as a take-home final exam or final project for a class.