This text investigates the application of statistical methods to the design and analysis of industrial experiments to improve manufacturing processes and product quality. Edited by Owen L. Davies, the work compiles the expertise of researchers at Imperial Chemical Industries (I.C.I.) to provide a rigorous framework for planning experiments. It argues that systematic statistical control is necessary to isolate variables and derive actionable insights from industrial data sets.

Experts recognize this volume as a foundational reference for industrial statisticians and engineers working in the mid-20th century. Readers frequently note the high level of mathematical rigor and the density of the technical prose, which remains relevant for those studying the history of statistical quality control.