To find the percent error, we can use the formula:
\[ \text{Percent Error} = \left( \frac{|\text{Actual Value} - \text{Predicted Value}|}{\text{Predicted Value}} \right) \times 100 \]
In this case:
- Predicted Value = 250 bags
- Actual Value = 266 bags
Now, plug the values into the formula:
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Calculate the absolute error: \[ |\text{Actual Value} - \text{Predicted Value}| = |266 - 250| = 16 \]
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Calculate the percent error: \[ \text{Percent Error} = \left( \frac{16}{250} \right) \times 100 \]
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Perform the division: \[ \frac{16}{250} = 0.064 \]
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Multiply by 100 to get the percentage: \[ 0.064 \times 100 = 6.4 \]
Finally, rounding to the nearest whole number, the percent error is:
\[ \text{Percent Error} \approx 6% \]
So, the percent error around the answer to the nearest whole number is 6%.