Introduction to Statistical Data Analysis for the Life Sciences

Description

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• • A new chapter on non-linear regression models

• • A new chapter that contains examples of complete data analyses, illustrating how a full-fledged statistical analysis is undertaken

• • Additional exercises in most chapters

• • A summary of statistical formulas related to the specific designs used to teach the statistical concepts

This text provides a computational toolbox that enables students to analyze real datasets and gain the confidence and skills to undertake more sophisticated analyses. Although accessible with any statistical software, the text encourages a reliance on R. For those new to R, an introduction to the software is available in an appendix. The book also includes end-of-chapter exercises as well as an entire chapter of case exercises that help students apply their knowledge to larger datasets and learn more about approaches specific to the life sciences**