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Free eBook Introductory Statistics IBM download

by Sheldon M. Ross

Free eBook Introductory Statistics IBM download ISBN: 0079122442
Author: Sheldon M. Ross
Publisher: McGraw-Hill College; Har/Dsk edition (November 1, 1995)
Language: English
Pages: 806
Category: Math Science
Subcategory: Mathematics
Size MP3: 1726 mb
Size FLAC: 1376 mb
Rating: 4.3
Format: txt rtf mobi lrf


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Introductory Statistics book.

Introductory Statistics book. Details (if other): Cancel.

Introductory Statistics.

Download books for free. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, and an explanation of intuition and ideas behind the statistical methods. Concepts are motivated, illustrated and explained in a way that attempts to increase one's intuition. To quote from the preface, "It is only when a student develops a feel or intuition for statistics that she or he is really on the path toward making sense of data.

Only 3 left in stock (more on the way).

Print Book & E-Book. ISBN 9780128043172, 9780128043615. The text's main merits are the clarity of presentation, contemporary examples and applications from diverse areas, an explanation of intuition, and the ideas behind the statistical methods. Concepts are motivated, illustrated, and explained in a way that attempts to increase one's intuition.

Ross Sheldon M. (EN). In this revised text, master expositor Sheldon Ross has produced a unique work in introductory statistics. To help guide students towards independent learning, exercises and examples using real issues and real data (. stock price models, health issues, gender issues, sports, scientific fraud) are provided.

This exciting text is written for the introductory non-calculus based statistics course offered in mathematics and/or statistics departments. The text contains an abundance of well-constructed and interesting problems at varying levels of difficulty. There is an excellent balance between basic skills and applications, with real-world data adding to its overall appeal.
User reviews
Haal
This book should be avoided for the following reasons. The copy that was mailed to me did not have a complete set of page numbers. I bought it from a third-party seller from the UK and that error might be systematic. More astonishingly, the data needed to work on the problems are available only on the printed page. I find it barbaric that I would have to manually input the list of numbers into R. The copy I received did not come attached with the CD, the barbarism is twofold. I made a lengthy search for these materials on the Academic Press website and did not find them (as of 20 November 2017). The publishers advertise the use of R but I did not see any R code in the book. That is fine with me because I was going to learn R somewhere else anyway.

The Mathematical Association of America makes available professional reviews of mathematical books for free (there used to be a paywall). The review by Peter Ravonovich did not endorse “Statistics: fourth edition” by the respected Sheldon Ross. I have browsed the book content and I find it well written. At least the usual maladies that afflict college textbooks are not there. Absent are the clownish graphics and the usual distractions from the writing. This is a very enticing book if only the data and all the computer things were available online. Best of luck to the student not repeating my experience.
Skrimpak
This is a good book for introductory statistics. While you want to learn more, please refer to Statistical Inference (Berger 2nd edition)
Ndav
Math majors and such will get more value elsewhere (I recommend DeGroot and Schervish), but this is a nice, friendly book that will teach you a lot about statistics. Some simple math derivations have been omitted for no apparent reason, but this is definitely not one of those "conceptual" books for people who hate statistics and formulas and just want to enter their data into a statistics program and click a button. It will teach you statistics for real. Calculus not required.
Lcena
I bought this book for a university level statistics course. While the book has been helpful, I have been troubled by the vast number of editorial mistakes in the sample problems - wrong answers, incorrect data tables etc. Most textbooks have an error or two, but so far I have come across mistakes in every chapter.