Practical data analysis for designed experiments

Placing data in the context of the scientific discovery of knowledge through experimentation, this book examines issues of comparing groups and sorting out factor effects and the consequences of imbalance and nesting, then works through more practical applications of the theory.

Written in a modern and accessible manner, it is a useful blend of theory and methods.

Exercises included in the text are based on real experiments and real data.