"Statistical Quality Control" is an introductory text mainly aimed at students. It is a little too basic for those working in business, but might prove a useful primer for those moving into an improvement role who don't have a background in these disciplines.
The text covers four main areas:
1 Problem Solving Strategies. A very basic introduction to improvement methods. For business readers, Brian Joiner's "Fourth Generation Management", or any of the "Toyota Way" books, or many other books on improvement will give a more rigorous grounding in continuous improvement. 2 Statistical Quality Control. An overview of statistical sampling and surveys with a good section on AQL. Again this is basic stuff and any business qualification will give you a stronger grounding. 3 Statistical Process Control. A basic introduction to SPC. Any of the works of Donald Wheeler, or even Brian Joiner's book mentioned above, will give better business-focussed coverage of this topic. 4 Design of Experiments Again a basic overview. Anyone working in business will need deeper coverage.
Overall then the book is a good introductory text, primarily for undergraduates. It has the advantage of a nice readable style, but for most business readers the book's coverage is too basic and too focussed on examination topics rather than real business issues.
Very detailed book, quite heavy in places, but overall is a fantastic resource if you need the detail, the formulae, and the method. This book is a bit big to carry around with you, but it's never far from my reach. This is the book that I always turn to when I want the full nuts and bolts. If you were ever struggling to find a formula for a statistical problem, look no further than this book - this is where I have really found this book to be brilliant. The only minor negative for me, is that the teaching style of the book is slightly dry, but never the less, still one of the best books for statistical control that I ever purchased.