What are the practical consequences of a Type II error ? a false positive—errone
ID: 3314288 • Letter: W
Question
What are the practical consequences of a Type II error?
a false positive—erroneously concluding that the researcher’s theory has been supported.
a false negative—erroneously concluding that the researcher’s theory has not been supported.
either a false positive or a false negative, depending on the direction (sign) of the results.
a false positive—erroneously concluding that the researcher’s theory has been supported.
a false negative—erroneously concluding that the researcher’s theory has not been supported.
either a false positive or a false negative, depending on the direction (sign) of the results.
Explanation / Answer
In statistical hypothesis testing, a type I error is the incorrect rejection of a true null hypothesis (also known as a "false positive" finding), while a type II error is incorrectly retaining a false null hypothesis (also known as a "false negative" finding).
So answer is a false negative—erroneously concluding that the researcher’s theory has not been supported.