MCS 3030 Lecture : Feb 15th 2012 Lecture Note

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Factor: major independent variable in an experimental design. Level: a subdivision of a factor into components or features. Null outcome: a situation in which the treatment has no effect. Main effect: an outcome that shows consistent differences between all levels of a factor. Interaction effect: an effect that occurs when differences on one factor depend on which level you are on another factor. 3 categories (levels: no sales training, head office lectures, on-the-job training, iv2: compensation type. * this would be a 3x2 factorial sales experiment. Regardless of compensation type: a1 yields ,000 more on average than a2. Regardless of training program used, compensation b1 yields ,000 more sales on average. Total effect = a1 = ,000 + b1 = ,000 = ,000. A1 is ,000 better when b1 is used and ,000 better when b2 is used. B1 is ,000 better than b2 when a1 is used and ,000 better when a2 is used.

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