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Indiana State University · 3.000 credits · UGRD

Data-driven techniques for defining, measuring, analyzing, improving, and controlling the quality of products, processes, and systems. Includes Pareto, FMEA, and quality cost analyses; reliability testing; control charts; and applied statistics, e.g., t-tests, anova, and correlation. Prerequisites: MATH 115 or 116 or 129 or 131 or 241 or appropriate Math placement score (MTA 21)
Fall 2026 · 1 section
Aug 18 – Dec 11
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 301Class #51104 | Time not published | Web Site WEB | Michael Allen Hayden |
| 301 notes: Instructional method: Online | |||