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What's the probability of a type 1 error. What happens when the sampling distribution is altered (e.g. filtering out all values below the mean) and how does it effect type 1 errors?
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Remember that type 1 error probability equals your significance level (α), and explain how distribution alterations affect the null hypothesis testing framework
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