Showing posts with label mathematical. Show all posts
Showing posts with label mathematical. Show all posts

Statistics, Data Analysis & Decision Modeling (4th Edition) Review

Statistics, Data Analysis and Decision Modeling (4th Edition)
Average Reviews:

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The concepts of the book helps people who are not major in statistic a lot. It uses simple words and some example to help people to understand the concepts in the book.

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A pragmatic approach to statistics, data analysis and decision modeling.

Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans' dedication to present material in a simple and straightforward fashion is ideal for comprehension.
The latest edition of this text has been substantially re-written to improve clarity and make topics more up-to-date and practical.


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Applied Statistics and the SAS Programming Language (5th Edition) Review

Applied Statistics and the  SAS Programming Language (5th Edition)
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I've been doing data analysis for almost 20 years and recommend this highly. It is not too advanced for the beginning college student or professional, but more weighty than the small Introduction to SAS books (which seem more suitable for those with no experience). Because it interweaves SAS programming with often used statistics (and offers excellent examples and interpretations of output throughout), it is ideal for a stats and/or SAS course.
I find it useful for reviewing SAS steps, and as a quick stats overview. The big SAS books are fine as a reference or for researching more complex and/or narrower questions, but this is far more user-friendly. Highly recommended for the beginning to moderate statistician or programmer.

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As the SAS© programming language continues to evolve, this guide follows suit with timely coverage of the combination statistical package, database management system, and high-level programming language. Using current examples from business, medicine, education, and psychology, Applied Statistics and the SAS Programming Language is an invaluable resource for applied researchers, giving them the capacity to perform statistical analyses with SAS without wading through pages of technical documentation. Includes the necessary SAS statements to run programs for most of the commonly used statistics, explanations of the computer output, interpretations of results, and examples of how to construct tables and write up results for reports and journal articles. Illustrated with SAS Graph™ output. Provides readers with ample models for developing programming skills. For anyone interested in learning more about applied statistics and the SAS programming language.

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