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.