Limitation of Physical Measurements (AQA A Level Physics): Flashcards

Exam code: 7408

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  • Define random error.

    A random error causes unpredictable fluctuations in readings due to uncontrollable factors, such as environmental conditions.

  • Define systematic error.

    A systematic error arises from faulty instruments or a flawed method and is repeated consistently in the same direction every time.

  • Define zero error.

    A zero error is a systematic error in which an instrument gives a non-zero reading when the true value is zero.

  • What is the difference between precision and accuracy?

    • precision — how close repeated measurements are to each other (small spread)

    • accuracy — how close a measurement is to the true value

  • Define resolution.

    Resolution is the smallest change in the quantity being measured that produces a perceptible change in an instrument's reading.

  • What is the difference between repeatability and reproducibility?

    • repeatable — the same experimenter repeats the investigation with the same method and equipment and gets the same results

    • reproducible — a different person, or different equipment or technique, obtains the same results

  • Random errors affect the precision of measurements, whereas systematic errors affect the ...........

    Random errors affect the precision of measurements, whereas systematic errors affect the accuracy.

  • True or False?

    Repeating a measurement and averaging reduces systematic error.

    False.

    Repeating and averaging reduces random error. Systematic error is reduced by recalibrating the instrument or correcting the method.

  • Define uncertainty.

    The uncertainty is the range of values around a measurement within which the true value is expected to lie; it is an estimate.

  • Distinguish absolute, fractional and percentage uncertainty.

    • absolute — a fixed quantity with the same units as the measurement

    • fractional — the uncertainty as a fraction of the measurement

    • percentage — the uncertainty as a percentage of the measurement

  • How do you find the uncertainty in the mean of a set of repeated readings?

    Take half the range:

    \text{uncertainty} = \frac{1}{2}(\text{largest} - \text{smallest})

  • When two quantities are added or subtracted, how are their uncertainties combined?

    Add the absolute uncertainties.

  • When two quantities are multiplied or divided, how are their uncertainties combined?

    Add the percentage (or fractional) uncertainties.

  • When a quantity is raised to a power, its percentage uncertainty is .......... by that power.

    When a quantity is raised to a power, its percentage uncertainty is multiplied by that power.

  • What is the uncertainty in a single reading taken from an analogue scale?

    ± half the smallest division on the scale.

  • True or False?

    The uncertainty in a digital reading is ± the last significant digit, unless stated otherwise.

    True.

    For a digital reading, the uncertainty is taken as ± the last significant digit unless otherwise quoted.

  • Define error bar.

    An error bar is a line drawn through a data point on a graph to show the absolute uncertainty in that measurement.

  • In which direction are error bars usually drawn, and what else can they represent?

    Usually vertical, showing the uncertainty in the y-values. They can also be drawn horizontally to show the uncertainty in the x-values.

  • How do you find the uncertainty in the gradient of a straight-line graph?

    Draw a best-fit line and a worst-fit line, then compare their gradients.

  • Define worst-fit line.

    The worst-fit line is the steepest or shallowest possible straight line that still passes within all the error bars.

  • How is the percentage uncertainty in a gradient calculated?

    \% \text{ uncertainty} = \frac{|\text{best gradient} - \text{worst gradient}|}{\text{best gradient}} \times 100\%

  • The best-fit line should pass as .......... to as many of the plotted points as possible.

    The best-fit line should pass as close to as many of the plotted points as possible.

  • True or False?

    Error bars represent the percentage uncertainty in a data point.

    False.

    Error bars represent the absolute uncertainty in a data point.

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