Processing Uncertainties

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Random & Systematic Errors

  • Random errors cause unpredictable fluctuations in readings due to uncontrollable factors like environmental conditions.
  • Random errors affect precision, causing a wider spread of results about the mean.
  • To reduce random errors, repeat measurements several times and calculate an average.
  • Systematic errors arise from faulty instruments or flaws in the experimental method.
  • Systematic errors are repeated consistently, affecting the accuracy of all readings.
  • To reduce systematic errors, recalibrate instruments or use different instruments, and correct the technique.
  • On graphs, systematic errors are shown by the offset of the line from the origin.

Reading Errors and Zero Errors

  • For an analogue device (e.g., ruler), the uncertainty is ±0.5 the smallest measuring interval.
  • For a digital device (e.g., digital scale or stopwatch), the uncertainty is ±1 the smallest measuring interval.
  • To reduce reading errors, use a more precise device with smaller measuring intervals.
  • A zero error is a type of systematic error where an instrument gives a reading when the true reading is zero.
  • To account for zero error, subtract the offset from each value (e.g., if a scale starts at 2 g, a 50 g reading is actually 48 g).
  • The offset could be positive or negative.

Precision, Accuracy, Reliability, and Validity

  • Precision refers to how close repeated measurements are to each other; small random uncertainty means high precision.
  • Measurements to a greater number of decimal places are said to be more precise.
  • Accuracy refers to how close a measurement is to the true value; small systematic error means high accuracy.
  • Accuracy can be increased by repeating measurements and finding a mean, which also helps identify anomalies.
  • Reliability is the ability of an experiment to produce consistent results when repeated using the same method and equipment.
  • Validity is the suitability of an experimental procedure to measure what it is intended to measure.
  • For valid results, all variables that may affect the outcome must be identified and controlled.

Calculating Uncertainties

  • Uncertainty is a range of values around a measurement within which the true value is expected to lie; it is an estimate.
  • Absolute uncertainty is given as a fixed quantity and has the 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.
  • Uncertainty in a reading: ± half the smallest division.
  • Uncertainty in a measurement: at least ±1 smallest division.
  • Uncertainty in repeated data: half the range, i.e., ± ½ (largest − smallest value).
  • Uncertainty in digital readings: ± the last significant digit unless otherwise quoted.
  • Uncertainty in the natural log of a value: absolute uncertainty in ln(x) = uncertainty in x divided by x.

Combining Uncertainties

  • For addition and subtraction (y = a ± b), add the absolute uncertainties: Δy = Δa + Δb.
  • For multiplication and division (y = a × b or y = a/b), add the fractional uncertainties: Δy/y = Δa/a + Δb/b.
  • For powers (y = an), multiply the fractional uncertainty by the power: Δy/y = n(Δa/a).
  • When adding or subtracting data, add the absolute uncertainties.
  • When multiplying or dividing data, add the percentage or fractional uncertainties.
  • When raising to a power, multiply the percentage uncertainty by the power.
  • Absolute uncertainties (Δ) have the same units as the quantity; percentage uncertainties have no units.
  • The uncertainty in constants such as π is taken to be zero.

Determining Uncertainties from Graphs

  • The uncertainty in a measurement can be shown on a graph as an error bar.
  • Error bars are drawn above and below the point (or side to side) and show the absolute uncertainty.
  • To find the uncertainty in a gradient, draw the best line of best fit and the worst line of best fit.
  • The best line passes as close as possible to all points; the worst line is the steepest or shallowest line that fits within all error bars.
  • Percentage uncertainty in gradient = |(best gradient − worst gradient) / best gradient| × 100%.
  • The worst gradient is the one with the greatest difference in magnitude from the best line.
  • Alternatively, 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.

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 accepted value may be labelled on a component or taken from a reputable source such as a peer-reviewed data booklet.
  • For example, the accepted value of g is 9.81 m s⁻²; if an experiment gives 10.35 m s⁻², the percentage difference is 5.5%.
  • The smaller the percentage difference, the more accurate the results.

Examiner Tips and Tricks

  • Always ensure absolute or percentage uncertainty is given to the same number of significant figures as the reading.
  • A common misconception is that error bars must all be the same size; in physics, each data point can have different error bar sizes.
  • Uncertainties in trigonometric and logarithmic functions will not be tested in the exam.

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Câu hỏi luyện tập

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  1. 1.Which type of error causes unpredictable fluctuations in an instrument's readings due to uncontrollable factors such as environmental conditions?

    Easy
    • ARandom error
    • BSystematic error
    • CZero error
    • DParallax error
  2. 2.Which of the following best describes a systematic error?

    Easy
    • AIt causes a wider spread of results about the mean.
    • BIt arises from faulty instruments or flaws in the experimental method.
    • CIt can be reduced by taking more readings and averaging.
    • DIt is due to unpredictable fluctuations in readings.
  3. 3.What is the uncertainty when taking a single reading from an analogue device such as a ruler?

    Easy
    • A± the smallest measuring interval
    • B± half the smallest measuring interval
    • C± twice the smallest measuring interval
    • D± one tenth of the smallest measuring interval
  4. 4.What is the uncertainty when taking a single reading from a digital device such as a digital stopwatch?

    Easy
    • A± half the smallest measuring interval
    • B± the smallest measuring interval
    • C± twice the smallest measuring interval
    • D± zero, as digital devices are exact
  5. 5.A student takes repeated measurements of a length. Which expression gives the uncertainty in the mean value?

    Medium
    • AThe largest value minus the smallest value
    • BHalf the range, i.e. ± ½ (largest − smallest)
    • CThe sum of all values divided by the number of values
    • DThe standard deviation divided by the mean
  6. 6.A top-pan balance has a zero error and reads 2 g when nothing is on it. A measurement of 50 g is taken. What is the corrected mass?

    Medium
    • A52 g
    • B50 g
    • C48 g
    • D2 g
  7. 7.Which statement about precision is correct?

    Easy
    • APrecise measurements are close to the true value.
    • BPrecise measurements have very little spread about the mean value.
    • CPrecision is reduced by taking more readings.
    • DPrecision is a measure of the suitability of the experimental procedure.
  8. 8.Which statement about accuracy is correct?

    Easy
    • AAccurate measurements have very little spread about the mean.
    • BAccurate measurements are close to the true value.
    • CAccuracy is a measure of the ability to reproduce results.
    • DAccuracy is increased by using a more precise device.

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