Stat 415 syllabus
Statistical Quality Control and Reliability
Bulletin description Probability distributions in quality control, inferences about
process quality, control charts for attributes and variables, process capability
analysis, economic design of control charts, cusum charts, acceptance sampling
by attributes and variables, reliability concepts, censoring, definitions and
properties of survival distributions, methods of estimating and comparing
reliability distributions, Kaplan-Meier estimation, burn-in models with a major
emphasis on computer-assisted data analysis.
Prerequisite Any 300 level ST course. Computer Lab fee.
Text Montgomery, Introduction to Statistical Quality Control 4th edition, John Wiley and Sons.
Coverage Chapter 1-9 and 14, 15.
Learning Objectives This course is designated to provide an introduction to
the basic concepts and techniques of statistical quality control and reliability.
Help the students to understand the statistical process monitoring and
Last Updated February 18, 2014