Statistics for life science I
The book starts with an overview of descriptive statistics, probability and probability distributions. Statistical inference for one and two samples is covered, as well as inference on proportions. The design of biological experiments is discussed. Analysis of variance in several situations is also covered: completely randomized designs, block designs, Latin squares, and factorial experiments. Some models with random factors and mixed models are also covered such as one-way, two-way and split-plot designs. A chapter on model diagnostics is included as well as a chapter on methods for deciding the sample size before data are collected.
The purpose of the book is to provide a rather comprehensive overview of statistical methods used in the life sciences. It is intended for courses in statistics for students majoring in biology, ecology, medicine, nursing, agronomy, pharmacology and other life sciences.