05 June 2019 12 9K Report

Hello, I recently found in a test bank that those two can't be increased simultaneously. As we all know, Type I error is when you reject a true null hypothesis (you think there's a treatment effect when there is not), and Type II error is when you accept a false null hypothesis (you think there's no treatment effect when there is). But I'm having trouble understanding the logic of why these two can't be increased at the same time. Thank you.

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