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Causal Inference
內容大綱
This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of confounding variables. Then it walks through the steps to designing an experiment, including a discussion of how to calculate the power of a test.