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- Author: Thomas Pfaff
- Publisher: CRC Press
- ISBN-10: 0367196859
- ISBN-13: 9780367196851
- Format: 15.6 x 23.4 x 2.1 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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 example-based approach
- Chapters are largely independent of each other
EXTRA 10 % discount with code: EXTRA
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- Author: Thomas Pfaff
- Publisher: CRC Press
- ISBN-10: 0367196859
- ISBN-13: 9780367196851
- Format: 15.6 x 23.4 x 2.1 cm, hardcover
- Language: English English
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 example-based approach
- Chapters are largely independent of each other
Reviews