Probability & Statistics with R for Engineers and Scientists
Now Browsing: Textbooks › Linguistics › Probability & Statistics with R for Engineers and Scientists
Edition: 1st
Published: 2015
Publisher: Pearson
Format: Hardcover
Pages: 513
ISBN 13: 9780321852991
ISBN 10: 0321852990
- All
- Rent
- Buy
- eBook
- Sell Back
Also check: Knetbooks, BiggerBooks, eCampus
Bookstore Condition | Item Price Shipping Total Cost Store link |
|---|---|
Also check: AbeBooks
Bookstore Condition | Item Price Shipping Total Cost Store link |
|---|---|
Also check: RedShelf
Also check: eCampus
Also check: Knetbooks, BiggerBooks, eCampus
Bookstore Condition | Item Price Shipping Total Cost Store link |
|---|---|
Also check: AbeBooks
Bookstore Condition | Item Price Shipping Total Cost Store link |
|---|---|
Also check: RedShelf
Prices checked Oct 20, 2026, 5:18 AM ET. Prices change often; the store's checkout price is final.
Renting vs. Buying This Textbook
Renting is usually cheapest if you only need the book for one term: you return it with a free prepaid label when the term ends. Buying used can beat renting when the sell-back price is high, so compare the sell-back price with the rental price before you decide. An eTextbook arrives instantly but usually expires. Rentals and used copies rarely include working access codes.
Always match the ISBN on your syllabus (9780321852991) before you order; different editions have different ISBNs.
About This Book
This text grew out of the author's notes for a course that he has taught for many years to a diverse group of undergraduates. The early introduction to the major concepts engages students immediately, which helps them see the big picture, and sets an appropriate tone for the course. In subsequent chapters, these topics are revisited, developed, and formalized, but the early introduction helps students build a true understanding of the concepts. The text utilizes the statistical software R, which is both widely used and freely available (thanks to the Free Software Foundation). However, in contrast with other books for the intended audience, this book by Akritas emphasizes not only the interpretation of software output, but also the generation of this output. Applications are diverse and relevant, and come from a variety of fields.