Project-Based R Companion to Introductory Statistics

A Project-Based Approach using R

Chelsea Myers

• Publisher: Chapman and Hall/CRC
• Year: 2020
• ISBN:
  9781000329919
• Edition: 1
• Topic: Pedagogía
• Subtopic: Enseñanza de matemáticas

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.

Key features of the text:

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• Organized in chapters focusing on the same topics found in typical introductory statistics textbooks (descriptive statistics, regression, two-way tables, hypothesis testing for means and proportions, etc.) so instructors can easily pair this supplementary material with course plans

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• Includes student projects for each chapter which can be assigned as laboratory exercises or homework assignments to supplement traditional homework

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• Features real-world datasets from scientific publications in the fields of history, pop culture, business, medicine, and forensics for students to analyze

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• Allows students to gain experience working through a variety of statistical analyses from start to finish

The book is written at the undergraduate level to be used in an introductory statistical methods course or subject-specific research methods course such as biostatistics or research methods for psychology or business analytics.

Author

After a 10-year career as a research biostatistician in the Department of Ophthalmology and Visual Sciences at the University of Wisconsin-Madison, Chelsea Myers teaches statistics and biostatistics at Rollins College and Valencia College in Central Florida. She has authored or co-authored more than 30 scientific papers and presentations and is the creator of the MCAT preparation website MCATMath.com.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Author
• Introduction
• Chapter 1 Getting Started with R and Rstudio
• Chapter 2 Describing Categorical Data
• Chapter 3 Describing Quantitative Data
• Chapter 4 The Normal Distribution
• Chapter 5 Two-Way Tables
• Chapter 6 Linear Regression and Correlation
• Chapter 7 Random Sampling
• Chapter 8 Inference About a Population Mean
• Chapter 9 Inference About a Population Proportion
• Chapter 10 Comparing Two Population Means
• Chapter 11 Comparing Two Population Proportions
• Student Project 1 – Does Brain Weight Differ by Age in Healthy Adult Humans?
• Student Project 2 – Preventing Acute Mountain Sickness with Ginkgo Biloba and Acetazolamide
• Student Project 3 – What Factors Influence Mammal Sleep Patterns?
• Index