3 credits
Fall 2025 Lecture Distance Learning Upper Division
A strong background in control charts including adaptations, acceptance sampling for attributes and variables data, standard acceptance plans, sequential analysis, statistics of combinations, moments and probability distributions, applications.
Learning Outcomes1Acquire fluency in the language and techniques of modem quality control and its applications.
2Conceptually understand the utility of statistics for quality control.
3Apply control charts and experimental design techniques to solve real-life quality control problems.
4Utilize appropriate Statistical software for statistical computation, visualization, control chart construction, and design of experiments.
5Discuss what is learned in lecture and assignments through oral and written presentations.
Prerequisites
Restrictions
made by Purdue students.