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3/Question#48
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A paper says, "We chose the sample size to ...

5%, Type I error🔍

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A paper says, "We chose the sample size to ...

5%, Type I error🔍

tags:

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submitted by cassdawg(580), 2020-05-07T03:35:07Z

In hypothesis testing, the alpha value is the probability of making a Type I error.This is the type of error mentioned in the question.Type I error- you find a difference when a difference doens't really exist.Alphais the probability you are willing to accept that you could have made a type I error (i.e. an alpha value of 0.05 means there is a 5% probability you could make a type I error and reject the null hypothesis when you should not)- you do not find a difference when you should have because a true difference really existsType II errorBetais the probability that you make a type II errorPower is equal to (1 - beta)FA2020 p263