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I dont understand the explanation of a Type 1 error in statistics given below.


A type I error occurs when the null hypothesis is true, but is rejected.

A type I error, or false positive, is asserting something as true when it is actually false.  This false positive error is basically a “false alarm”. It is a result that indicates a given condition has been fulfilled when it actually has not been fulfilled.

in Data Science by Diamond (50,535 points) | 24 views

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