To calculate the percent error for the principal's prediction, we can use the formula for percent error:
\[ \text{Percent Error} = \left( \frac{|\text{Actual Value} - \text{Predicted Value}|}{|\text{Predicted Value}|} \right) \times 100 \]
In this case:
- Actual Value = 750 cans
- Predicted Value = 600 cans
Now, let's calculate the absolute difference between the actual and predicted values:
\[ |\text{Actual Value} - \text{Predicted Value}| = |750 - 600| = 150 \]
Next, we substitute this value into the percent error formula:
\[ \text{Percent Error} = \left( \frac{150}{600} \right) \times 100 \]
Calculating the fraction:
\[ \frac{150}{600} = 0.25 \]
Now, converting this to a percentage:
\[ 0.25 \times 100 = 25 \]
Thus, the percent error in the principal's prediction is:
\[ \text{Percent Error} = 25.0% \]
Therefore, the percent error for the principal's prediction is 25.0%.