To find a data point that results in a z-score that indicates it is 2 standard deviations below the mean, we can use the formula for the z-score:
\[ z = \frac{(X - \mu)}{\sigma} \]
Where:
- \(z\) is the z-score,
- \(X\) is the data point,
- \(\mu\) is the mean,
- \(\sigma\) is the standard deviation.
In this case, we want a z-score of -2 (indicating 2 standard deviations below the mean). The mean (\(\mu\)) is 254, and the standard deviation (\(\sigma\)) is 12.
We set up the equation:
\[ -2 = \frac{(X - 254)}{12} \]
Now, solving for \(X\):
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Multiply both sides by 12: \[ -24 = X - 254 \]
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Add 254 to both sides: \[ X = 254 - 24 \] \[ X = 230 \]
So, a data point of 230 will result in a z-score of -2, indicating it is 2 standard deviations below the mean.
Therefore, the answer is 230.