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If 0 < σ2 < ∞ then (in terms of distribution) for large n. Plus the map of how the different random variables are. This comprehensive cheat sheet covers all the essential concepts you need to. Type i error in a hypothesis test, the type i error, often noted $\alpha$ and also called false alarm or significance level, is the probability of.
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