This course starts by reviewing the Statistical concepts learned in Statistical Quality Control I and then continues on to interval estimation and hypothesis testing. Interval estimated are used to make inferences about population parameters which are checked using hypothesis testing for both small and large sample sizes. Statistical quality control is studied including Deming's quality management steps as well as ISO-9000 certification. The tools of quality control are also introduced including cause-and-effect diagrams, Pareto charts, histograms, and control charts. Students also learn how to apply Statistics to Process Control (SPC) including how to use and interpret various control charts for variables and attributes. Finally, reliability and lot-by-lot acceptance sampling by attributes are covered along with the statistical aspects of calculating both.