Testing is common in academia and the business world, especially when one wants to make sense of any part of a process in which a variation can lead to differential results. In the industry, the common approach is to change one factor at a time, while holding other factors constant. This can be highly inefficient and may lead to wrong conclusions. In this course, participants will learn how to design, run, and analyze experiments that allow simultaneous testing of all factors. This course imparts practical knowledge of experimental design and analysis by illustrating cases on the real-world implementation of experimentation.
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