Assignment on Design of Experiment (original) (raw)

An experimental design consists of a careful description of how a particular hypothesis can be experimentally tested. This requires: (a) an explicit specification of the treatment factors to be tested; (b) the specific range of values over which these treatment factors will be tested; (c) the manner in which observations will be generated, recorded, and reported; and (d) the criteria that will be used to evaluate the degree to which the observations appear to support the hypothesis or to be inconsistent with the hypothesis. Some basic concepts of design of experiment Treatments are the different procedures we want to compare. These could be different kinds or amounts of fertilizer in agronomy, different long distance rate structures in marketing, or different temperatures in a reactor vessel in chemical engineering. Experimental units are the things to which we apply the treatments. These could be plots of land receiving fertilizer, groups of customers receiving different rate structures, or batches of feedstock processing at different temperatures. Responses are outcomes that we observe after applying a treatment to an experimental unit. That is, the response is what we measure to judge what happened in the experiment; we often have more than one response. Responses for the above examples might be nitrogen content or biomass of corn plants, profit by customer group, or yield and quality of the product per ton of raw material. Randomization is the use of a known, understood probabilistic mechanism for the assignment of treatments to units. Other aspects of an experiment can also be randomized: for example, the order in which units are evaluated for their responses.

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