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Probability and Statistics for Engineering and the Sciences with Modeling using R – PDF

eBook Details

  • Authors: Rodney X. Sturdivant, William P. Fox
  • File Size: 11 MB
  • Format: PDF
  • Length: 427 Pages
  • Publisher: CRC/Chapman and Hall; First edition
  • Publication Date: Feb 23, 2023
  • Language: ‎English
  • ISBN-10: 1000825582, 1032330473
  • ISBN-13: 9781000825589, 9781032330471, 9781032330501, 9781003317906, 9781000825572

Original price was: $126.00.Current price is: $20.00.

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About The Author

Rodney X. Sturdivant

William P. Fox

Popularity of Probability and Statistics

Probability and statistics courses are experiencing a surge in popularity. No matter your field of study or future career, you’ll likely encounter these concepts regularly.
Flexibility for Instructors

This ebook, Probability and Statistics for Engineering and the Sciences with Modeling using R, is designed to offer instructors maximum flexibility when building undergraduate courses. It’s suitable for both a one-semester introductory probability and statistics course (not requiring calculus) and a one-semester calculus-based probability and statistics course.

Engineering Focus with Broader Applications

The textbook primarily focuses on engineering examples and applications while incorporating social sciences and diverse examples as well. The chapter flow allows for customization, making it appropriate for students at various levels and backgrounds. The authors, drawing from years of teaching experience, have developed problems based on real data, student projects, and labs. Students have found these elements significantly enhance their learning experience. The authors aim to share these projects and labs with other instructors and students, enriching the course for all.

Utilizing R for Practical Learning

R is a powerful platform for learning and this ebook utilizes it with real datasets. The included labs are versatile and can be used for group work, in-class activities, or self-directed study. These project labs, thoroughly tested over many years, have proven effective in encouraging students to apply key concepts and utilize technology to analyze and present results.

978-1000825572, 978-1032330471, 978-1003317906, 978-1000825589, 978-1032330501

NOTE: This sale only includes the eBook Probability and Statistics for Engineering and the Sciences with Modeling using R in PDF format. No access codes are provided.

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