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I always get confused about Type I and II errors. Can you show me something...
Type I errors, also known as false positives, occur when you see things that are not there. Type II errors, or false negatives, occur when you don’t see things that are there (see Figure below).
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What do alpha and beta refer to in statistics?
For any statistical test, the probability of making a Type I error is denoted by the Greek letter alpha (α), and the probability of making a Type II error is denoted by Greek letter beta (β). Alpha (or...
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What is an ideal level of statistical power?
There is nothing cast in stone regarding the appropriate level of statistical power, but Cohen (1988) reasoned that studies should be designed in such a way that they have an 80% probability of...
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