Type I error - quickly explained (Statistics) #shorts

This video quickyl explains the phenomenon known as type I error (also called alpha error).

This is the most common type of error made in research, and it can have serious consequences, as you will see.It is a false positive conclusion and means that the test is significant despite there being no effect in reality.

Think of a man being told he is pregnant by a physician - a false positive.

#statorials #shorts