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This paper evaluates and compares a variety of sampling techniques, including both classical and modern Designs of Experiments, to create a more structured approach to selecting the most apt DoE for a specific type of problem. Six different designs are investigated through a design analysis for a notional commercial aircraft. The appropriateness of each sampling technique is determined based on a number of criteria, including code execution time, independent variable correlation, and distribution of data points throughout the design space. Additionally, the resulting models are evaluated using a systematic procedure for checking quality to quantify the accuracy and predictive capability of a given model.