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Type I vs Type II error + values and study power

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Type I vs Type II error + values and study power

Alpha (α) Error: Type I error: Rejecting the null hypothesis when it is actually true Equivalent to a false positive Typically set at 0.05 (5% chance of incorrectly rejecting the null hypothesis) Represents the significance level of a statistical test Beta (β) Error: Type II error: Failing to reject the null hypothesis when it is actually ...

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