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Project-Based R Companion to Introductory Statistics (Paperback)
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Project-Based R Companion to Introductory Statistics (Paperback)
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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: 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 Includes student projects for each chapter which can be
assigned as laboratory exercises or homework assignments to
supplement traditional homework Features real-world datasets from
scientific publications in the fields of history, pop culture,
business, medicine, and forensics for students to analyze 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.
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