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Introduction to Statistical Data Analysis for the Life Sciences

  • Takes a nontraditional approach to data analysis for students in the life sciences and agriculture
  • Includes two new chapters
  • Uses R for exercises and examples
  • Offers solutions to selected exercises at the back of the book

By: Claus Thorn Ekstrøm (Author), Helle Sørensen (Author)

525 pages, 101 b/w illustrations, 97 tables

Apple Academic Press

Paperback | Dec 2014 | Edition: 2 | #216568 | ISBN-13: 9781482238938
Availability: Usually dispatched within 48 hours
NHBS Price: £39.99 $50/€46 approx

About this book

Developed from the authors' courses at the University of Copenhagen, this text provides a computational toolbox that enables readers to perform actual analysis on real data sets and gain the confidence and skills to undertake progressively more sophisticated analyses. Though accessible with any statistical software, the text encourages a reliance on R. The authors provide a short tutorial for those new to the software and include R commands and output at the end of each chapter. Data sets are available on a supporting website.

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See the previous edition

Introduction to Statistical Data Analysis for the Life Sciences

Any practical introduction to statistics in the life sciences requires a...

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- Description of Samples and Populations
- Linear Regression
- Comparison of Groups
- The Normal Distribution
- Statistical Models, Estimation, and Confidence Intervals
- Hypothesis Tests
- Model Validation and Prediction
- Linear Normal Models
- Probabilities
- The Binomial Distribution
- Analysis of Count Data
- Logistic Regression
- Case Exercises
- Appendices
- Bibliography
- Index

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