What type of error is a false-negative error?1 pointType I errorType III errorType L errorType II error

Break Down the Problem

1. Identify the Error Types: Understand the different types of errors in hypothesis testing.
2. Define False-Negative Error: Clarify what a false-negative error indicates in a statistical context.

Relevant Concepts

1. Type I Error: Rejecting a true null hypothesis (false positive).
2. Type II Error: Failing to reject a false null hypothesis (false negative).
3. Type III Error: Correctly rejecting the null hypothesis but for the wrong reason.
4. Type L Error: Not commonly referenced in standard statistics terminology.

Analysis and Detail

1. A false-negative error occurs when a test fails to detect a condition that is present. In hypothesis testing, this corresponds to a Type II error, where the test concludes that there is no effect or difference when one actually exists.

Verify and Summarize

After reviewing the definitions, it is clear that the false-negative error directly corresponds to the failure to identify a condition, making it a Type II error.

Final Answer

The correct answer is Type II error.