Definitions for "TYPE I ERROR"
See ALPHA RISK.
The researcher's data-based decision that the null hypothesis is false when it is really true.  This incorrect conclusion is not the result of a mistake in the analysis.  By chance, a “large” dispersion among the means (which should happen with probability ) has actually occurred this time.
False positive - wrongly concluding that there is a significant difference. See also Multiple testing (multiplicity).
Keywords:  lane, steps
STEPS LANE
Finding an imagined difference where none actually exists.
Keywords:  mistake, saying, difference, based
A mistake based on saying there is a difference when there is not.