The Practice Of Statistics In The Life Sciences(3rd Edition)

Authors:

Brigitte Baldi, David S Moore

Free the practice of statistics in the life sciences 3rd edition brigitte baldi, david s moore 1464133212,
3 ratings
Cover Type: Paperback
Condition: Used/New

In Stock

Shipment time

Expected shipping within 2 - 5 Days
Access to 30 Million+ solutions Free
Ask 50 Questions from expert AI-Powered Answers
7 days-trial

Total Price:

$0

List Price: $50.00 Savings: $50(100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for The Practice Of Statistics In The Life Sciences

Price:

$9.99

/month

Book details

ISBN: 1464133212, 9781464133213

Book publisher: W. H. Freeman

Book Price $0 : The Practice of Statistics in the Life Sciences by Brigitte Baldi and David S. Moore is a comprehensive text that provides a practical approach to understanding statistics in the context of biological sciences. Aimed primarily at undergraduate students, the book delves into essential statistical methodologies and techniques crucial for life sciences. The third edition presents a lucid and reader-friendly introduction to statistical analysis, emphasizing the interpretation and use of statistics in biological research. Key concepts include data collection, probability, sampling, and inferential statistics, all of which culminate in understanding the importance of statistical significance in experimental results. The 'solution manual' and 'answer key' provided with the book serve as invaluable resources for students, aiding them in solving complex statistical problems and verifying their answers. The 'table of content' is meticulously structured to guide readers effectively through each chapter. The pedagogical approach includes examples and exercises that illustrate the application of statistics in real-world biological research scenarios, making the book not just a textbook but a practical guide for students and professionals interested in the life sciences. The reception of this edition has been positive, particularly praised for its clarity and relevance in teaching statistics to those who may not have a strong mathematical background. Complemented by digital resources and solutions, it is an excellent resource for academic courses focused on the integration of statistics within biological studies. Overall, this book remains a significant text in the field, offering essential tools and insights into the statistical analysis required for modern biology.