Statistical Significance Explained
Chris and Andres dive into the common misconception that experiments must achieve statistical significance to be valid. They discuss how to determine the appropriate level of significance based on the potential error rate you're willing to accept, emphasizing that for many experiments, especially outside of critical applications like pharmaceuticals, a higher tolerance for error can lead to faster learning and results.In this clip
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