Statistical Methods for SPC and TQM

Introduction - statistics, SPC and total quality data collection and graphical summaries numerical data summaries - location and dispersion probability and distribution sampling, estimation and confidence simple tests of hypotheses - "significance tests" control charts for process management and improvement control charts for average and variation control charts for "single-valued" observations control charts for attributes and events control charts - problems and special cases cusum methods process capability - attributes, events and normally distributed data capability - non-normal distributions evaluating the precision of a measurement system (gauge capability) getting more from control chart data SPC in "non-product" applications. Appendices: linear combinations of independent variables linear combination of correlated variables products and quotients non-linear functions dealing with composite functions other useful standard errors.