A false positive error is a type I error where the test is checking a single condition, and results in an affirmative or negative decision usually designated as " true or false ".
12.
Negative serial correlation implies that a positive error for one observation increases the chance of a negative error for another observation and a negative error for one observation increases the chances of a positive error for another.
13.
Negative serial correlation implies that a positive error for one observation increases the chance of a negative error for another observation and a negative error for one observation increases the chances of a positive error for another.
14.
Humans, they reason, are " hard-wired " to err on the side of caution since the consequences of " not " recognizing such a potential threat or important social cue would be more detrimental than a false positive error.
