This seminar provides a practical approach to understanding how to interpret and use a standard tool-box of statistical methods, including confidence intervals, t-tests, Normal K-tables, Normality tests, confidence/reliability calculations, AQL sampling plans, measurement equipment analysis, and Statistical Process Control. Without a clear understanding and correct implementation of such methods, a company risks significantly increasing its complaint rates, scrap rates, and time-to-market; and significantly reducing its product and service quality, its customer satisfaction levels, and its profit margins.