Learning Statistics: Concepts and Applications in R

by Talithia Williams

From the introduction:

"This course provides an introduction to statistics with examples
and applications in R, a free software environment that is
transforming how statistics is done around the world. R offers
a different way of doing statistics that may require patience when you
get started if you haven’t experienced it before, but it quickly provides a
powerful environment for analysis, including access to amazing graphics
capabilities.

The fundamental aim of this course is to get you to think probabilistically
and to achieve statistical literacy. By the end of the course, you should
have a clear understanding that randomness is everywhere, and you
should be comfortable with some basic concepts and techniques to model
randomness and to interpret random data. You should also be able to use R
as a tool for understanding, analyzing, and modeling data."

Genres: Mathematics

408 pages, Unknown Binding

Published January 1, 2017

About the author

Talithia Williams is an Associate Professor of Mathematics and the Associate Dean for Research and Experiential Learning at Harvey Mudd College. She earned her bachelor’s degree in Mathematics from Spelman College, a master’s degree in mathematics from Howard University and her Ph.D. in Statistics from Rice University. Her professional experiences include research appointments at NASA’s Jet Propulsion Laboratory, NASA’s Johnson Space Center, and the National Security Agency.

Renowned for her popular TED Talk, “Own Your Body’s Data,” Dr. Williams takes sophisticated numerical concepts and makes them understandable to a wide audience. She won the Mathematical Association of America’s Henry L. Alder Award for Distinguished Teaching by a Beginning College or University Mathematics Faculty Member, which honors faculty members whose teaching is effective and extraordinary, and extends its influence beyond the classroom.

In her research, Dr. Williams develops statistical models that emphasize the spatial and temporal structure of data. She has partnered with the World Health Organization in developing a model to predict the annual number of cataract surgeries needed to eliminate blindness in Africa.

Dr. Williams is cohost of the PBS series NOVA Wonders, and she has delivered speeches around the country on the value of statistics in quantifying personal health information.