Prereq: MNG 335 and graduate student standing.
An introduction to experimental design. Topics include a review of statistical inference on a single sample, statistical inference on two samples, analysis of variance, randomized blocks, Latin squares, two- factor factorial design, the general factorial design, 2k factorial design, blocking and confounding in the 2k factorial design, two-level fractional factorial design, response surface methods, experiments with random factors. Course emphasizes mining applications.
An introduction to experimental design. Topics include a review of statistical inference on a single sample, statistical inference on two samples, analysis of variance, randomized blocks, Latin squares, two- factor factorial design, the general factorial design, 2k factorial design, blocking and confounding in the 2k factorial design, two-level fractional factorial design, response surface methods, experiments with random factors. Course emphasizes mining applications.