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Practical Skills II: Analysis

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Edexcel IAL Physics · Practical Skills

Practical Skills II: Analysis

Once you've collected your data, this chapter is all about turning raw numbers into a trustworthy, well-presented conclusion — through calculations, graphs, and honest uncertainty.

Quick Overview
Calculations Graphing SI Units Trends Gradients Precision vs Accuracy Errors Uncertainty
  • Calculations using experimental data — how to process raw readings (means, derived quantities like area, logs) before you can even plot anything.
  • Plotting graphs — choosing scales, labelling axes correctly, drawing lines/curves of best fit, and reading off the y-intercept.
  • Using units correctly — the 6 SI base units and how derived units (N, J, Pa) are built from them.
  • Trends & patterns — recognising linear, directly proportional, inversely proportional, and rate-of-change relationships.
  • Interpreting graphs — turning proportional relationships into equations, spotting inverse-square laws, and calculating gradients properly.
  • Precision & accuracy — knowing the difference (this trips up almost everyone) plus sensitivity vs resolution.
  • Reducing errors — parallax error, fiducial markers, zero errors, and how to fix each.
  • Suggesting improvements — data loggers, cameras, computer modelling, and making a method reproducible.
  • Uncertainties — absolute, fractional, percentage; how to find them for readings, measurements, repeated data, and digital displays.
  • Combining uncertainties — the ADD rule for +/− and the ADD-percentages rule for ×/÷, plus the MULTIPLY rule for powers.
1. Calculations Using Experimental Data

Collecting data is only half the practical. The moment you've got your raw readings, you need to process them — and crucially, you need to have planned your table so there's room to do this.

The Mean

When you repeat a reading (say, three current readings for the same length of wire), you don't just pick one — you average them. But there's a subtlety examiners love to test:

  • Ignore any anomalous readings when calculating the mean (a reading that's obviously way off due to a mistake, not natural variation).
  • The mean must be given to the same number of significant figures as the readings that made it. If your readings were all to 3 s.f. (like 1.34, 1.35), your mean must also be 3 s.f. — don't suddenly give 5 decimal places just because your calculator did.
Mean Mean = (sum of the readings) ÷ (number of readings)
Calculating Values You Can't Directly Measure

Sometimes the quantity you actually need for your graph isn't something you can point a ruler or ammeter at. You measure something else, then use an equation to get there. Two classic examples:

  • Area of a wire: you can't measure area directly, so you measure the radius r with a micrometer, then calculate Area = πr² for each value of r.
  • Extension in Hooke's Law: you can't measure "extension" with a ruler in one go — you measure the initial length and final length separately, then calculate Extension = Final length − Initial length.
  • Logarithms: sometimes you need ln(value) or log(value) for a straight-line graph (see Topic 4). This always needs its own column in the table — one column for the raw reading, the next column for its log.
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Also in the full note
  • Trap: Confusing precision and accuracy
  • Trap: Tiny gradient triangles
  • Trap: Forcing the line of best fit through the origin
  • Trap: Subtracting % uncertainty for division
  • Trap: Wrong significant figures on uncertainty
  • What examiners actually look for
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