Experimental Design And Data Analysis For Biologists,Used

Experimental Design And Data Analysis For Biologists,Used

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SKU: SONG0521009766
Brand: Cambridge University Press
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This Essential Textbook Is Designed For Students Or Researchers In Biology Who Need To Design Experiments, Sampling Programs, Or Analyze Resulting Data. The Text Begins With A Revision Of Estimation And Hypothesis Testing Methods, Before Advancing To The Analysis Of Linear And Generalized Linear Models. The Chapters Include Such Topics As Linear And Logistic Regression, Simple And Complex Anova Models, Loglinear Models, And Multivariate Techniques. The Main Analyses Are Illustrated With Many Examples From Published Papers And An Extensive Reference List To Both The Statistical And Biological Literature Is Also Included. The Book Is Supported By A Website That Provides All Data Sets, Questions For Each Chapter And Links To Software.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

  • Q: How many pages does this book have? A: This book has five hundred fifty-three pages. It provides extensive coverage of experimental design and data analysis topics relevant to biologists.
  • Q: What type of binding does this book have? A: This book is available in paperback binding. This makes it lightweight and portable, suitable for students and researchers alike.
  • Q: What are the dimensions of this book? A: The book measures seven point four four inches in length, one point two six inches in width, and nine point six nine inches in height. These dimensions make it easy to handle and fit into bags.
  • Q: Who is the author of this textbook? A: The book is authored by Gerry P. Quinn. He provides expert insights into the field of biology and data analysis.
  • Q: What topics are covered in this book? A: This book covers various topics including linear regression, logistic regression, ANOVA models, and multivariate techniques. It provides a comprehensive guide for experiment design and data analysis.
  • Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It starts with basic concepts before advancing to complex analyses.
  • Q: Can I use this book for self-study? A: Yes, this book is excellent for self-study. It includes examples, questions for each chapter, and extensive references to aid learning.
  • Q: What kind of data sets are provided? A: The accompanying website offers various data sets for practice. These sets correlate with the chapters and enhance the learning experience.
  • Q: Is this book useful for advanced researchers? A: Yes, advanced researchers will find this book useful. It delves into complex statistical models and techniques relevant to biological research.
  • Q: What formats is this textbook available in? A: This textbook is available in paperback format. There may also be digital formats available through educational platforms.
  • Q: How can I keep this book in good condition? A: To keep the book in good condition, store it upright in a cool, dry place. Avoid exposing it to direct sunlight or moisture.
  • Q: Can I return the book if I'm not satisfied? A: Yes, you can return the book if you are not satisfied. Check the retailer's return policy for specific details.
  • Q: What if the book arrives damaged? A: If the book arrives damaged, contact the retailer immediately for a replacement or refund. Most retailers have policies in place for such situations.
  • Q: Is this book suitable for high school students? A: Yes, this book can be suitable for high school students interested in biology. It provides foundational knowledge that can be beneficial.
  • Q: Are there any online resources available for this book? A: Yes, there is a dedicated website that offers additional resources such as data sets and chapter questions. These enhance the learning experience.
  • Q: Does the textbook include references to software? A: Yes, the textbook includes links to software relevant to data analysis. This helps readers apply the methods discussed in the book.

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