Last answered:

10 Oct 2019

Posted on:

10 Oct 2019


Confusion regarding the Type 1 and type 2 errors

Hi, I always get confused regarding the False Positive and False Negative error, is there an easy way to remember it?
1 answers ( 0 marked as helpful)
Posted on:

10 Oct 2019


Hello Marc,
Using terms "reject" and "Ho" (null hypothesis), the type I error is rejecting Ho when Ho is true. On the other hand, type II error is accepting Ho when Ho is false.
The "false" term in false positive and false negative refers to the idea that we have committed an error.
The "positive" here is for the rejection of the null hypothesis. Once we reject the null hypothesis, we follow the alternative hypothesis which is a statement of "change" or difference. When we say false positive, we followed the statement of "change" when doing it is actually an error.
On the other hand, the "negative" term refers to "no change" hypothesis. We followed the hypothesis of "no change" (that is the null hypothesis) when in reality there is a change. Hence the term "false" because it is an error. Make sure to take a look at these real-life examples of false positive and false negative.
Hope this helps.
The 365 Team

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