100013 Lecture Notes - Lecture 6: Type I And Type Ii Errors, Effect Size, Statistical Hypothesis Testing

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Type 1 errors: occur when we accept a score is from another population but it actually isnt, weve actually found a rare case from the same population, sometimes the score actually is from a different population. Type ii errors: occur when we accept a score is within population (accept h0), but it isnt, but there is a chance the sample score could be from the sample. It actually comes from a different population population: there is always risk of getting it wrong.

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