Essential Statistical Concepts for the Quality Professional

Many books and articles have been written on how to identify the "root cause" of a problem. However, the essence of any root cause analysis in our modern quality thinking is to go beyond the actual problem. This book offers a new non-technical statistical approach to quality for effective improvement and productivity by focusing on very specific and fundamental methodologies as well as tools for the future. It examines the fundamentals of statistical understanding, and by doing that the book shows why statistical use is important in the decision making process.

Stamatis, D. H.

What is statistics? Data. Summarizing data. Tests and confidence intervals for means. Tests and confidence intervals for standard deviations. Tests of distributions and means. Planning the experiment and Analysis of Variance. Fitting functions. Typical sampling techniques. Understanding computer programs for design and estimating design power.