Type 1 Error Vs Type 2 Error
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Type 1 Error Vs Type 2 Error
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Both type 1 and type 2 errors are mistakes made when testing a hypothesis A type 1 error occurs when you wrongly reject the null hypothesis i e you think you found a significant effect when there really isn t one A type 2 error occurs when you wrongly fail to reject the null hypothesis i e you miss a significant effect that is really there A Type I error occurs when a true null hypothesis is incorrectly rejected false positive A Type II error happens when a false null hypothesis isn t rejected false negative The former implies acting on a false alarm while the latter means missing a genuine effect Both errors have significant implications in research and decision making
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