What statement below is consistent with making a Type |l error? O concluding that a treatment has an effect when it really does O concluding that a treatment has no effect when it really has no effect O concluding that a treatment has no effect when it really does concluding that a treatment has an effect when it really has no effect

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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**Question**: What statement below is consistent with making a Type II error?

- ☐ concluding that a treatment has an effect when it really does
- ☐ concluding that a treatment has no effect when it really has no effect
- ☐ concluding that a treatment has no effect when it really does
- ☐ concluding that a treatment has an effect when it really has no effect

**Explanation for Educational Website**:

A Type II error occurs when we fail to reject a false null hypothesis. In simpler terms, it happens when a test concludes that there is no effect or no difference when, in fact, there is. This type of error is often due to insufficient power in a study to detect an effect that actually exists. 

In the options provided, the statement that matches the description of a Type II error is:

- "concluding that a treatment has no effect when it really does"
Transcribed Image Text:**Question**: What statement below is consistent with making a Type II error? - ☐ concluding that a treatment has an effect when it really does - ☐ concluding that a treatment has no effect when it really has no effect - ☐ concluding that a treatment has no effect when it really does - ☐ concluding that a treatment has an effect when it really has no effect **Explanation for Educational Website**: A Type II error occurs when we fail to reject a false null hypothesis. In simpler terms, it happens when a test concludes that there is no effect or no difference when, in fact, there is. This type of error is often due to insufficient power in a study to detect an effect that actually exists. In the options provided, the statement that matches the description of a Type II error is: - "concluding that a treatment has no effect when it really does"
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