measurements & their errors

    Cards (21)

    • Base units
      • Mass
      • Length
      • Time
      • Amount of something
      • Temperature
      • Current
    • Units for base quantities
      • Mass: kilograms
      • Length: meters
      • Time: seconds
      • Amount: moles
      • Temperature: Kelvin
      • Current: amps
    • Prefixes
      • Tera (10^12)
      • Giga (10^9)
      • Mega (10^6)
      • Kilo (10^3)
      • Milli (10^-3)
      • Micro (10^-6)
      • Nano (10^-9)
      • Pico (10^-12)
      • Femto (10^-15)
    • Electron volt
      Energy required to accelerate an electron through a potential difference of 1 volt
    • Kilowatt hour
      Energy transferred by a power of 1 kilowatt over 1 hour
    • Random error
      Spread of data around the true value, reduced by repeating measurements
    • Systematic error
      Consistent difference from the true value, addressed by changing method or equipment
    • Key terms
      • Accuracy
      • Precision
      • Repeatability
      • Reproducibility
      • Resolution
    • Uncertainty
      Absolute uncertainty (with units) and percentage uncertainty, account for errors in measurements
    • Reading vs Measurement
      Reading is a single judgement (e.g. thermometer), measurement involves two judgements (e.g. ruler)
    • Analog meter
      Meter where you have to judge the start and end point, leading to uncertainty
    • Absolute uncertainty
      Plus or minus half the smallest scale division
    • Percentage uncertainty (single reading)
      Absolute uncertainty / measured value x 100
    • Percentage uncertainty (repeated readings)
      Half the range / mean x 100
    • Drawing graphs
      1. Choose appropriate scale
      2. Label axes with quantity and units
      3. Plot data points
      4. Draw line of best fit
      5. Add error bars
    • Line of best fit (LoB)
      Line that goes through the centre of the data points
    • Worst acceptable line of best fit (LoB)
      Line that still goes through the error bars, but is not as good as the LoB
    • Percentage uncertainty in gradient
      (Gradient of LoB - Gradient of worst LoB) / Gradient of LoB x 100
    • Percentage uncertainty in y-intercept
      (y-intercept of LoB - y-intercept of worst LoB) / y-intercept of LoB x 100
    • Combined/final uncertainty
      Absolute uncertainties added together if adding/subtracting
      Percentage uncertainties added together if multiplying/dividing
    • Estimation uses common values to estimate the size of a final answer
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