Description 
1 online resource 
Summary 
R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ̀€̀€nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics for teaching, as well as for scholarly work. This book presents ways R, which is freely available, can enhance the teaching of mathematics and statistics. R has the potential to help students learn mathematics due to the need for precision, understanding of symbols and functions, and the logical nature of code. Moreover, the text provides students the opportunity for experimenting with concepts in any mathematics course. Features: Does not require previous experience with R Promotes the use of R in typical mathematics and statistics course work Organized by mathematics topics Utilizes an examplebased approach Chapters are largely independent of each other 
Notes 
Thomas J. Pfaff is a professor of Mathematics at Ithaca College and served as the all college Honors Program director for three years. He was the PI on threeyear NSF grant Multidisciplinary Sustainability Modules: Integrating STEM Courses. The scope of his publications range from traditional mathematics to applied mathematics, including the SABR newsletter, and sustainability to essays about higher education. His blog sustainbilitymath.org provides resources to incorporate sustainability ideas into mathematics courses and he is currently interested in using R for student projects in all courses 

Print version record 
Subject 
Mathematical statistics  Data processing  Problems, exercises, etc


Mathematical statistics  Study and teaching (Higher)  Data processing


Mathematics  Study and teaching (Higher)  Data processing


R (Computer program language)


BUSINESS & ECONOMICS / Statistics


MATHEMATICS / Applied


MATHEMATICS / General


MATHEMATICS / Probability & Statistics / General


Mathematical statistics  Data processing.


Mathematics  Study and teaching (Higher)  Data processing.


R (Computer program language)

Genre/Form 
Problems and exercises.

Form 
Electronic book

ISBN 
0367196883 

1000000141 

1000006972 

1000013502 

9780367196882 

9781000000146 

9781000006971 

9781000013504 
