Foundational And Applied Statistics For Biologists Using R(1st Edition)

Authors:

Ken A. Aho

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

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Book details

ISBN: 1032477415, 978-1032477411

Book publisher: CRC Press

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Book Price $0 : Ken A. Aho's 'Foundational And Applied Statistics For Biologists Using R' is an essential resource for biologists embarking on quantitative research. The book provides a comprehensive exploration of statistical methods specifically tailored for biological data analysis using the R programming language. With its structured approach, Aho delves into core statistical concepts such as hypothesis testing, regression analysis, and ANOVA, integrating these with practical examples from biological contexts. The solution manual accompanying the text is indispensable for students, offering a robust answer key that resolves complex statistical problems and reinforces learning. The table of contents is meticulously organized, guiding readers through foundational statistics, probability theories, and more advanced topics such as multivariate analysis and generalized linear models. Aho's text is not only a practical guide but also an academically rigorous reference, making data analysis in biology accessible and methodical. The book's integration of R—an open-source solution renowned for its statistical computing power—situates it at the intersection of programming and biology, fostering skills that are increasingly crucial in bioinformatics and data-driven biology research. 'Foundational And Applied Statistics For Biologists Using R' has been well received in academic circles for its clarity, application-driven approach, and as a definitive resource for biologists engaging with statistical datasets through R programming. Providing a cheap yet effective way to boost understanding, this book is great for student success.

Customer Reviews

Trusted feedback from verified buyers

AS
Alexandra Shepherd
4.0
Got it last week, very informative!
BG
Blake Grant
5.0
This book is phenomenal for anyone delving into the world of statistics with a biological twist. The author does a fantastic job breaking down complex statistical concepts, making them incredibly accessible. I particularly appreciated the clear explanations and practical examples that tie the theory to real-world applications. As a member of an educational program, I even got an extra discount through my subscription, making this resource even more affordable. The delivery was swift and the book arrived in perfect condition, ready to be devoured. Highly recommended for students and professionals alike!