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.
One CANNOT lean sooooooooooooooo far over backwards avoiding a TYPE I ERROR
WITHOUT AUTOMATICALLY
BECOMING ENORMOUSLY VULNERABLE TO A TYPE II ERROR.
They are interrelated. There’s NO WAY to stack the deck SO WHOLESALE AGAINST GETTING CAUGHT BY A TYPE I ERROR
WITHOUT
FORCING ONE’S SELF INTO THE LAP OF A TYPE II ERROR.
CAN’T BE DONE OTHERWISE.
It is impossible to EXTREMELY AVOID TYPE I
WITHOUT
BECOMING EXTREMELY LIKELY TO BE SNOOKERED BY A TYPE II . . . AND TYPE II IS EVERY BIT AS DEADLY AS A TYPE II ERROR.
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?