Hmmmmm . . . interesting.
A TYPE I error is assuming the null hypothesis to be FALSE when it is ACTUALLY TRUE.
That is, when the null hypothesis states that NOTHING IS THERE, and one assumes it is FALSE—THAT THERE IS *SOMETHING* THERE—then that
is a TYPE I ERROR.
A TYPE II ERROR is
assuming that the null hypothesis is TRUE when it is ACTUALLY FALSE.
That is, assuming that NOTHING IS THERE
“WHEN THERE REALLY IS *SOMETHING* THERE
is a TYPE II ERROR.
EVERY NAYSAYER I’ve ever encountered has an
ILLOGICAL, BLIND-BIAS BASED ADDICTION TO LOVING, COMPULSIVELY DESPERATELY TRYING TO AVOID
A TYPE I ERROR...............”
Could you dumb it down a little?
Basically . . .
A TYPE I ERROR believes SOMETHING IS THERE when, actually, NOTHING is there.
A TYPE II ERROR believes that NOTHING IS THERE
when, actually, SOMETHING *IS* THERE.
I don’t think I can make it any more basic than that.