9780321641496-0321641493-Essentials of Statistics (4th Edition) (Triola Statistics Series)

Essentials of Statistics (4th Edition) (Triola Statistics Series)

ISBN-13: 9780321641496
ISBN-10: 0321641493
Edition: 4
Author: Mario F. Triola
Publication date: 2011
Publisher: Pearson
Format: Paperback 696 pages
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Book details

ISBN-13: 9780321641496
ISBN-10: 0321641493
Edition: 4
Author: Mario F. Triola
Publication date: 2011
Publisher: Pearson
Format: Paperback 696 pages

Summary

Essentials of Statistics (4th Edition) (Triola Statistics Series) (ISBN-13: 9780321641496 and ISBN-10: 0321641493), written by authors Mario F. Triola, was published by Pearson in 2011. With an overall rating of 4.0 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Essentials of Statistics (4th Edition) (Triola Statistics Series) (Paperback, Used) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.44.

Description

95% of Introductory Statistics students will never take another statistics course. What do you want to learn?

Discover the Power of Real Data

Mario Triola remains the market-leading statistics author by engaging readers of each edition with an abundance of real data in the examples, applications, and exercises. Statistics is all around us, and Triola helps readers understand how this course will impact their lives beyond the classroom–as consumers, citizens, and professionals.

Essentials of Statistics, Fourth Edition is a more economical and streamlined introductory statistics text. Drawn from Triola’s Elementary Statistics, Eleventh Edition, this text provides the same student-friendly approach with material presented in a real-world context.

The Fourth Edition contains more than 1,700 exercises (18% more than the previous edition); 89% are new and 81% use real data. The book also contains hundreds of examples; 86% are new and 92% use real data. By analyzing real data, readers are able to connect abstract concepts to the world at large, teaching them to think statistically and apply their conceptual understanding using the same methods that professional statisticians employ.


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