For junior/senior undergraduates taking probability and statistics as applied to engineering, science, or computer science.
This classic text provides a rigorous introduction to basic probability theory and statistical inference, with a unique balance between theory and methodology. Interesting, relevant applications use real data from actual studies, showing how the concepts and methods can be used to solve problems in the field. This revision focuses on improved clarity and deeper understanding.
This latest edition is also available in as an enhanced Pearson eText. This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book.
Also available with MyStatLab
MyStatLab™ is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
You are purchasing a standalone product; MyLab™ & Mastering™ does not come packaged with this content. Students, if interested in purchasing this title with MyLab & Mastering, ask your instructor for the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
If you would like to purchase both the physical text and MyLab & Mastering, search
0134468910 / 9780134468914 Probability & Statistics for Engineers & Scientists, MyStatLab Update with MyStatLab plus Pearson eText -- Access Card Package 9/e
Package consists
0134115856 / 9780134115856 Probability & Statistics for Engineers & Scientists, MyStatLab Update
0321847997 / 9780321847997 My StatLab Glue-in Access Card
032184839X / 9780321848390 MyStatLab Inside Sticker for Glue-In Packages
This was the text used in my undergraduate program for a course in Calculus based Probability and Statistics. I would say it did a sound job, by providing a guide to different statistical distributions, permutations, combinations, relevant definitions, problems, and more. I did many of the problems in the book and got a lot out of it. I think this text adequately prepares me for graduate level Probability/Statistics.
As a student that already has to contend with grossly overpriced books and college tuition: nothing, and I mean NOTHING irritates me more than being told I need to get a solutions manual to see the odd answers for chapter review exercises.