To find Eric's relative error in the measurement, we first need to calculate the absolute error and then find the relative error.
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Calculate the Absolute Error: The absolute error is the difference between the measured value and the actual value.
\[ \text{Absolute Error} = |\text{Measured Value} - \text{Actual Value}| \]
Plugging in the values:
\[ \text{Absolute Error} = |2.32 - 2| = |0.32| = 0.32 \]
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Calculate the Relative Error: The relative error is the absolute error divided by the actual value.
\[ \text{Relative Error} = \frac{\text{Absolute Error}}{\text{Actual Value}} \]
Now we can plug in the values:
\[ \text{Relative Error} = \frac{0.32}{2} \]
Calculating that gives:
\[ \text{Relative Error} = 0.16 \]
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Convert to a more useful format: To express this as a fraction or a percentage, we typically keep the value as is for relative error unless explicitly asked for a percentage. As a decimal, it’s 0.16. But since the problem asks for relative error to the nearest thousandth:
\[ \text{Relative Error} = 0.160 \]
Thus, Eric's relative error to the nearest thousandth is 0.160.