To find the percent error, we use the formula:
\[ \text{Percent Error} = \left| \frac{\text{Measured Value} - \text{True Value}}{\text{True Value}} \right| \times 100 \]
Part A: The correct expression to calculate the percent error for the measured density of the copper sample is:
A: |8.40−8.96|/8.96⋅100
Part B: Now we need to calculate the percent error using this formula:
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Calculate the absolute error: \[ |8.40 - 8.96| = | -0.56 | = 0.56 \]
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Divide by the true value (which is 8.96): \[ \frac{0.56}{8.96} \approx 0.0625 \]
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Convert to percentage: \[ 0.0625 \times 100 = 6.25% \]
Thus, the correct answer for Part B is:
B: 6.25%
So the selected responses would be:
- Part A: A: |8.40−8.96|/8.96⋅100
- Part B: B: 6.25%