This unit is especially relevant for students in economics and commerce, engineering and those doing an Applied Statistics major. It provides an introduction to quality improvement methods, concentrating on the central principle of understanding statistical variation, the use of exploratory data analysis and the proper display of results. Other aspects include special cause and common cause variation, effects of control strategies in a random environment, and critical analysis of statistical presentations. Topics are selected from total quality management and process improvement; lifetime distributions and reliability of complex systems; process capability and statistical process control... -- Course Website
Instructor: Assistant Professor Kevin Murray
Prerequisites: STAT1400 Statistics for Science or STAT2226 Statistical Models for Data or MATH1020 Calculus, Statistics and Probability or STAT1520 Economic and Business Statistics
