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1.2.1Development of Practical Skills in Physics

Presenting and Interpreting Results

5 min read 8 parts Lesson 8 of 29 1 quiz

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Lesson summary

1.2.1 Presenting and Interpreting Results — OCR A Level Physics A notes: Record raw data in a well-structured results table, display it in a suitable form and describe the pattern it shows.Raw readings written on scrap paper are almost useless.

  • independent variable
  • same number of decimal places
  • Line graph or scatter graph
  • anomalous results
  • Worked example 1
  • Worked example 2

Section 1 of 8Why presentation matters

Raw readings written on scrap paper are almost useless. A good results table lets another person see what was measured, in what units, how precisely, and how the readings were repeated. Presentation also helps you: patterns, anomalies and mistakes become obvious once the data are laid out in order.

Before the experiment starts, draw the table with empty cells so that every reading can be written straight in. Leave columns for repeats, for the mean, and for any calculated quantity you will need later, such as the square of a time or the reciprocal of a length.

Section 2 of 8Building a results table

Follow these conventions every time:

1Quantity
Each column heading names the quantity, then a solidus, then the unit: for example l / m or T / s. The numbers in the cells are then pure numbers with no unit written beside them.
2Independent variable
The independent variable (the one you change) goes in the first column and is usually listed in increasing order.
3Same number of decimal places
All readings in one column have the same number of decimal places, matching the resolution of the instrument. A metre rule reading to the nearest millimetre is recorded as 0.450 m, not 0.45 m.
4
Repeat readings get their own columns (t1, t2, t3) followed by a mean column.
5
Calculated values are given to the same number of significant figures as the least precise data used, or one more.
6
Include an uncertainty column or state the uncertainty in the heading if the course asks for it.

Never mix units in a column and never round a raw measurement; round only calculated results.

Section 3 of 8Choosing a form of display

The best display depends on the data type.

1Table
Table every raw reading, always required.
2Line graph or scatter graph
Line graph or scatter graph both variables are continuous (length and period, voltage and current). This is the normal choice in physics because gradients and intercepts carry physical meaning.
3Bar chart
Bar chart one variable is categorical (type of material, colour of surface).
4Pie chart
Pie chart proportions of a whole, rarely used for experimental physics.

A graph should be plotted from the table, never the other way round. Anything that has a numerical relationship should be shown as a graph of one variable against the other, with the independent variable on the horizontal axis.

Section 4 of 8Interpreting the pattern

Describing a trend means stating the shape in words and supporting it with numbers. Useful phrases are: as x increases, y decreases; y is directly proportional to x (straight line through the origin); y increases at a decreasing rate (curve flattening); y is inversely proportional to x (a hyperbola, or a straight line when y is plotted against 1/x).

To test proportionality from a table without drawing a graph, calculate the ratio y/x for each row. If the ratio is constant within the scatter of the data, the relationship is probably proportional. If the product x×y is constant, the relationship is inverse. If neither is constant, try y/x2 or plot a graph.

Always look for anomalous results: a reading that does not fit the pattern. Do not delete it. Mark it, think about its likely cause (misread scale, timing slip, loose connection), and, if possible, repeat that reading.

Section 5 of 8Linking to uncertainty and graphs

The way a table is laid out feeds directly into later skills.

Linking to uncertainty and graphs
The number of decimal places signals the resolution of the instrument; the spread of repeat readings gives an estimate of random uncertainty; and the final column is the one you plot.
These ideas are developed in Analysing Quantitative Data (1.2.2) and Plotting and Interpreting Graphs (1.2.3).
Presenting results well therefore earns marks twice: once for the table itself and again because later analysis is easier and less error-prone.

Finally, a conclusion drawn from the table must refer to the data. Writing “the time gets longer” is weak; writing “the period rises from 1.42 s to 2.85 s when the length is quadrupled, so T is not proportional to l” is strong.

Section 6 of 8Worked examples

  1. A student times 10 swings of a pendulum for string length 0.400 m and records 12.6 s, 12.8 s and 12.7 s with a stopwatch reading to 0.1 s. Show how this should be entered in a results table and find the period.

  2. A table shows applied force F and extension e of a spring: (2.0 N, 4.1 cm), (4.0 N, 8.0 cm), (6.0 N, 12.2 cm), (8.0 N, 16.0 cm). Is F proportional to e?

  3. Four readings of current through a resistor at p.d. 1.0, 2.0, 3.0, 4.0 V are 0.20, 0.41, 0.80, 0.81 A. Identify any anomaly and say what to do.

Section 7 of 8Key terms

TermMeaning
Independent variableThe quantity deliberately changed by the experimenter.
Dependent variableThe quantity measured as a result of the change.
Anomalous resultA reading that does not fit the pattern shown by the rest of the data.
ResolutionThe smallest change in the quantity that an instrument can show.
Directly proportionalTwo quantities whose ratio is constant; the graph is a straight line through the origin.
MeanThe sum of repeat readings divided by the number of readings.

Section 8 of 8Exam technique

1
Writing units beside each number in the cells instead of once in the column heading.
2
Giving different numbers of decimal places in one column, which hides the true resolution of the instrument.
3
Rounding raw data. Only calculated values are rounded.
4
Deleting an anomalous point without comment instead of flagging and, if possible, repeating it.
5
Describing a trend vaguely (“it goes up”) without quoting values from the table.
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