Description
Book SynopsisA Hands-On Approach to Teaching Introductory Statistics
Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in the life sciences. This popular textbook covers the mathematics underlying classical statistical analysis, the modeling aspects of statistical analysis and the biological interpretation of results, and the application of statistical software in analyzing real-world problems and datasets.
New to the Second Edition
- 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 u
Table of Contents
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. Non-Linear Regression. Probabilities. The Binomial Distribution. Analysis of Count Data. Logistic Regression. Statistical Analysis Examples. Case Exercises. Appendices. Bibliography. Index.
