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Designing an experiment shows us how many constraints and limitations we have to deal with. Every business requires a different way to set up experimentations, therefore disparate techniques to test our solutions. Standard approaches in statistics, such as regression analysis, are concerned with quantifying how changes in X are associated with changes in Y. Unlike methods that are concerned with associations only, causal inference approaches can answer the question of why Y changes.