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Think about a trial: the null hypothesis ($H_0=$ "innocent" until proven guilty); alternative, $H_a\ne$ "innocent".
So a Type I error is "Reject a true null" -- the individual is innocent, but we send them to jail.
What is a Type II error?
Last time we learned how to create a confidence interval for $p$. Today we'll add in the calculation of sample size.