What is a Type II error in statistics?
An example of an AI chatbot conversation about Type II errors in statistics.
What is a Type II error in statistics?
A Type II error occurs when we fail to reject a false null hypothesis. It's a false negative.
Can you give me an example of a Type II error?
Sure! If a medical test fails to detect a disease that is actually present, that's a Type II error.
How does it differ from a Type I error?
A Type I error is rejecting a true null hypothesis, while a Type II error is failing to reject a false null hypothesis.
What are the consequences of a Type II error?
Consequences can include missed opportunities for treatment or intervention, leading to worse outcomes.
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