What are the practical consequences of a Type II error ? a false positive—errone

Q: What are the practical consequences of a Type II error ? a false positive—errone

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.

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.

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What are the practical consequences of a Type II error ? a false positive—errone

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