Energy loss due to leaks in the calorimeter
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An approximation error is the discrepancy between an exact value and the approximation to it. This occurs when the measurement of something is not precise.
Standard error is the difference between a researcher's actual findings and their expected findings. Standard error measures the accuracy of one's predictions. Standard deviation is the difference between the results of one's experiment as compared with other results within that experiment. Standard deviation is used to measure the consistency of one's experiment.
The greatest possible error for a measurement is typically half of the smallest unit of measurement. In this case, the smallest unit of measurement is 1 foot, so the greatest possible error for a 14-foot measurement would be 0.5 feet. This means that the actual measurement could be as low as 13.5 feet or as high as 14.5 feet.
They are both as precise as the measuring tools. Precision is affected by the error introduced by the measurement or in a dimension, often known as the tolerance.A measurement in inches has a greater resolution than one in feet. 12 times the resolution in fact. However, a measurement of 178 inches that can be up to 15% out is not as precise as a measurement of 12 feet with a 1% possible error.
To get the relative error is the maximum error over the measurement. So the maximum error is the absolute error divided by 2. So the maximum error is 0.45. The relative error is 0.45 over 45 cm.