Processing Uncertainties
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課程筆記
Random & Systematic Errors
- Measurements aim to find the true value, but uncertainty is always present.
- Random errors cause unpredictable fluctuations in readings due to uncontrollable factors, affecting precision.
- To reduce random errors, repeat measurements and calculate an average.
- Systematic errors arise from faulty instruments or flawed methods, affecting accuracy consistently.
- To reduce systematic errors, recalibrate instruments or use different ones, and correct techniques.
- Zero errors are a type of systematic error where an instrument gives a reading when the true reading is zero.
- To account for zero errors, subtract the offset from each measurement.
Precision, Accuracy, Reliability & Validity
- Precision refers to how close repeated measurements are to each other; small random uncertainty means high precision.
- Accuracy refers to how close a measurement is to the true value; small systematic error means high accuracy.
- Repeating measurements and taking a mean can increase accuracy and help identify anomalies.
- Reliability is the ability of an experiment to produce consistent results when repeated.
- Validity is the suitability of the experimental procedure to measure what it intends to measure.
- Variables that may affect the outcome must be identified and controlled for valid results.
Calculating Uncertainties
- Uncertainty is a range of values around a measurement within which the true value is expected to lie.
- Uncertainties are not the same as errors; errors are issues that cause a reading to differ from the true value.
- Absolute uncertainty is given as a fixed quantity (same units as the measurement).
- Fractional uncertainty is the uncertainty as a fraction of the measurement.
- Percentage uncertainty is the uncertainty as a percentage of the measurement.
- For a reading, uncertainty is ± half the smallest division; for a measurement, at least ±1 smallest division.
- For repeated data, uncertainty is half the range: ± ½ (largest - smallest value).
- For digital readings, uncertainty is ± the last significant digit unless otherwise quoted.
Combining Uncertainties
- When adding or subtracting quantities, add the absolute uncertainties.
- When multiplying or dividing quantities, add the fractional (or percentage) uncertainties.
- When raising a quantity to a power, multiply the fractional uncertainty by the power.
- Absolute uncertainties have the same units as the quantity; percentage uncertainties have no units.
- The uncertainty in constants such as π is taken to be zero.
- Uncertainties in trigonometric and logarithmic functions will not be tested in the exam.
Determining Uncertainties from Graphs
- Error bars are plotted on graphs to show the absolute uncertainty of values.
- To find the uncertainty in a gradient, draw the best line of best fit and the worst line of best fit (steepest or shallowest that fits within all error bars).
- Percentage uncertainty in gradient = |(best gradient − worst gradient) / best gradient| × 100%.
- Absolute uncertainty in gradient = (max gradient − min gradient) / 2.
- Percentage uncertainty in y-intercept = |(best y-intercept − worst y-intercept) / best y-intercept| × 100%.
- Absolute uncertainty in y-intercept = (max y-intercept − min y-intercept) / 2.
- Error bars do not need to be the same size for all data points.
Percentage Difference
- Percentage difference indicates how close an experimental value is to the accepted value.
- It is not a percentage uncertainty.
- Percentage difference = |(experimental value − accepted value) / accepted value| × 100%.
- The experimental value is sometimes called the 'measured' value; the accepted value is the 'true' value.
- The smaller the percentage difference, the more accurate the results.
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1.What is the name for unpredictable fluctuations in an instrument's readings caused by uncontrollable factors such as environmental conditions?
Easy- ARandom errors
- BSystematic errors
- CZero errors
- DReading errors
2.Which type of error affects the accuracy of all readings obtained?
Easy- ARandom errors
- BSystematic errors
- CReading errors
- DPrecision errors
3.Random errors can be reduced by taking repeat measurements and calculating an average.
EasyTrue or false?
4.When measuring a quantity using an analogue device such as a ruler, what is the uncertainty in the measured quantity?
Easy- A±1 the smallest measuring interval
- B±0.5 the smallest measuring interval
- C±2 the smallest measuring interval
- D±0.1 the smallest measuring interval
5.When measuring a quantity using a digital device such as a digital scale, what is the uncertainty in the measured quantity?
Easy- A±0.5 the smallest measuring interval
- B±1 the smallest measuring interval
- C±2 the smallest measuring interval
- D±0.1 the smallest measuring interval
6.A top-pan balance starts at 2 g instead of 0 g. A measurement of 50 g is taken. What is the true mass?
Medium- A50 g
- B52 g
- C48 g
- D25 g
7.Which statement best describes precision?
Medium- AHow close a measurement is to the true value
- BHow little spread there is about the mean value
- CThe difference between the experimental and accepted value
- DThe suitability of an experiment to measure what it intends to measure
8.Which statement best describes accuracy?
Medium- AHow close a measurement is to the true value
- BHow little spread there is about the mean value
- CThe ability to reproduce results consistently
- DThe smallest division on a measuring instrument