False positives commonly called a “false alarm”, is a result that indicates a given condition has been fulfilled when it has not. I.e. erroneously a positive effect has been assumed. In the case of “crying wolf” – the condition tested for was “is there a wolf near the herd?”; the result was that there had not been a wolf near the herd. The shepherd wrongly indicated there was one, by calling “Wolf, wolf!” A false positive error is a type I error where the test is checking a single condition and results in an affirmative or negative decision usually designated as “true or false”.

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If you want to look for more information, check some free online courses available at coursera.org, edx.org or udemy.com.

Recommended reading list:

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