Errors and uncertainties
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Define 'systematic error' and provide an example.
A systematic error is a consistent error that affects all readings in the same way, shifting them from the true value in a consistent direction.
Define 'random error' and provide an example.
A random error is an unpredictable error that affects readings inconsistently, causing them to be scattered around the true value.
Explain the difference between accuracy and precision.
Accuracy refers to how close a measurement is to the true value. Precision refers to the repeatability of a measurement; how close multiple measurements are to each other, regardless of the true value.
A voltmeter consistently reads 0.2V too high. What type of error is this, and how does it affect accuracy and precision?
This is a systematic error (specifically, a zero error). It affects the accuracy of the measurements, making them consistently inaccurate. It does not directly affect the precision, as the measurements are still repeatable with the same offset.
How do you combine absolute uncertainties when adding or subtracting measurements?
When adding or subtracting measurements, the absolute uncertainties are added together. For
How do you combine percentage uncertainties when multiplying or dividing measurements?
When multiplying or dividing measurements, the percentage uncertainties are added together. For
A student measures a length as 2.5 ± 0.1 cm and a width as 1.2 ± 0.1 cm. Calculate the area and its absolute uncertainty.
Area = 2.5 * 1.2 = 3.0 cm². Percentage uncertainty in length = (0.1/2.5)*100 = 4%. Percentage uncertainty in width = (0.1/1.2)*100 = 8.33%. Total percentage uncertainty in area = 4 + 8.33 = 12.33%. Absolute uncertainty in area = (12.33/100) * 3.0 = 0.37 cm². Therefore, area = 3.0 ± 0.4 cm² (rounded to 1 sf).
Describe how repeated measurements can help reduce the impact of random errors.
Taking multiple measurements and calculating the average helps to reduce the impact of random errors. Random errors tend to cancel each other out when averaged, providing a more accurate estimate of the true value.
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