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Implementing and employing statistical process controls are the basis of this book. The authors lead you through the steps and techniques necessary to implement and use SPC, starting with background information on processes and a process measurement framework, and moving through topics such as planning your measurement strategy, data collection and analysis, and developing and interpreting process behavior charts using common SPC chart types. The most common controls are x-bar (mean) and r (range) charts. Be aware that any SPC approach requires two conditions to be met: (a) defined processes, and (b) the processes are in statistical control (meaning that the data points being measured have settled into a normal distribution that are randomly clustered around a mean and have defined upper and lower control limits). New processes, or processes that are not managed well enough to have these characteristics are not candidates for SPC.
This book requires knowledge and skills in basic statistical analysis. If you require a refresher I recommend reading "Visual Statistics" by Jack R. Fraenkel before tackling this book. I also recommend "Applied Statistics for Software Managers" by Katrina Maxwell, which not only teaches the basics, but also approaches measurement from the perspective of multi-variable analysis, regression analysis and other basic measurement techniques, which nicely complements the SPC material in this book and gives a broader picture of metrics.
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