STAT 321 - Industrial Design of Experiments I

(3 credits)

An introduction to applications of statistical methods used by industrial researchers to aid in the solution of certain types of industrial problems. Methods to include analysis of means, analysis of variance, factorial designs, fractional factorial (screening) designs. There will be industrial case studies and actual (hands-on) experience at local industries (when available). Prerequisite: An introductory statistics course (preferably STAT 210 - Statistics or STAT 303 - Introduction to Engineering Statistics). Grade or P/NC. Offered spring semester.

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