Drawing Graphs & Results Tables (Cambridge (CIE) IGCSE Biology): Revision Note

Exam code: 0610 & 0970

Naomi Holyoak

Written by: Naomi Holyoak

Reviewed by: Leander Oates

Updated on

Choosing a scale & plotting graphs

  • When drawing the axes for your graph you should:

    • put the independent variable on the x-axis and the dependent variable on the y-axis

    • label both axes with the quantity and the unit, e.g. time / s

    • choose scales that allow your plotted points to cover more than half of the grid in both directions

    • use scales that are easy to read, e.g. 1, 2 or 5 units for each large square, or 10, 20 or 50

    • ensure that scales go up in equal steps all the way along the axes

  • The axes do not have to start at zero, unless the question asks for this

  • Plot each point with a small, neat cross (×) or a dot with a circle around it

    • Plot each point to an accuracy of half a small square

  • Examiner reports show that students lose marks by:

    • choosing awkward scales, which makes the points harder to plot

    • leaving out labels or units on the axes

    • choosing scales so that the points cover less than half of the grid

    • plotting points as large blobs, so their accuracy cannot be checked

Examiner Tips and Tricks

Before you plot anything, find the largest and smallest values for each axis, and check that your scale covers both. A scale that runs out halfway through your data means starting the graph again.

Drawing a line or curve of best fit

  • A line of best fit shows the trend in your results; it illustrates the general pattern or relationship between your variables

  • When drawing a line, you should consider:

    • whether the line should be a straight line or a curve

      • If the points follow a constant linear pattern, plan to draw a straight line

      • If the rate of change varies or the trend levels off, plan to draw a smooth curve

    • where the line should start and end

      • Do not extend the line beyond your data; stop at the first and last plotted data points

      • Do not force the line through the origin (0, 0): only start at or pass through (0, 0) if this is shown in the data

    • how the points should be distributed around the line

      • Aim for a roughly even spread of points on each side of the line, along its whole length

      • If a data point is anomalous and clearly falls outside the pattern, treat it as an anomalous result and ignore it when positioning your line

  • Your drawing technique should include the following:

    • Always draw using a sharp pencil so your line is thin, clear, and precise

    • Always use a ruler for straight lines

    • Draw curves in one smooth, continuous movement

Two annotated scatter graphs show a straight line of best fit with roughly equal numbers of points above and below the line, and a curved line of best fit that stops at the data points and ignores an anomalous result.
Lines of best fit should follow the trend shown in the data.

Examiner Tips and Tricks

Note that not all graphs will require a line of best fit:

  • Lines of best fit should be drawn when:

    • the question explicitly asks for a line of best fit

    • there is a clear underlying trend, i.e. intermediate values can be reliably predicted

  • Point-to-point (join the dots) lines should be drawn when intermediate values between measured points cannot be assumed

Bar charts vs histograms

  • Use a bar chart when the independent variable is in categories, e.g. species or food type

    • The bars of a bar chart should be of equal width and should not touch

Bar chart of blood-group categories, with blood group on the x-axis and number of people on the y-axis. Annotations identify distinct categories and non-touching bars.
Bar charts are used to represent data that falls into distinct categories
  • Use a histogram for continuous data that has been put into groups, e.g. leaf lengths of 0–4 cm, 5–9 cm

    • The bars of a histogram do touch

Annotated histogram of continuous height data: x-axis height in centimetres, grouped 130–134 to 170–174,; y-axis is number of people in each category, and touching bars are labelled.
Histograms represent continuous data that is separated into groups.
  • Label the y-axis with the quantity and the unit, and label each bar or group on the x-axis

  • Draw all lines with a ruler

Examiner Tips and Tricks

When drawing a graph, you should always begin by considering which type of graph is most suitable.

  • Bar chart: when the independent variable falls into categories

  • Histogram: when continuous numerical data has been grouped into a series of ranges

  • Line graph: when both variables are continuous and one variable directly causes a change in another, e.g. temperature and reaction rate

  • Scattergraph: when both variables are continuous numbers but one variable does not directly cause a change in the other, e.g. body mass and heart rate

Recording results in a table

  • When designing a table you should put the independent variable in the first column and the dependent variable in the next

    • Add columns for any repeat readings, and a column for the mean if you need one

  • Give each column a heading with the quantity and the unit, separated by a solidus (/), e.g. time / s

    • Put the unit in the heading only, not next to every number in the column

  • Record all values in a column to the same number of decimal places

  • Draw one table for all your results, not a separate table for each part of the experiment

    • Draw the table with a ruler

  • Examiner reports show that students lose marks by:

    • putting units in the body of the table, e.g. writing °C next to every temperature

    • giving headings that are not a quantity, e.g. "bubbles" instead of "number of bubbles"

    • drawing separate tables instead of one table

Worked Example

A student wanted to count the number of bubbles released by pond weed in one minute over a range of temperatures. They planned to begin at 10 °C and investigate at 10 °C intervals up to a temperature of 50 °C.

Design a suitable results table that the student could use.

[2]

Zero-mark answer:

Temperature

Bubbles

10 °C

20 °C

30 °C

40 °C

50 °C

Full-mark answer:

Temperature / °C

Number of bubbles per minute

10

20

30

40

50

  • temperature / °C [1 mark]

  • number of bubbles per minute [1 mark]

Examiner Tips and Tricks

The zero-mark answer has no unit for temperature, and the units have been written in every cell of the column instead (10 °C, 20 °C and so on). Units belong in the heading only, so the cells should contain numbers alone. "Bubbles" names what is being counted but not what is being measured.

The full-mark answer gives each variable a heading that says exactly what is measured, with the unit written once in the heading after a solidus. The cells contain only numbers.

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Naomi Holyoak

Author: Naomi Holyoak

Expertise: Biology Content Creator

Naomi graduated from the University of Oxford with a degree in Biological Sciences. She has 8 years of classroom experience teaching Key Stage 3 up to A-Level biology, and is currently a tutor and A-Level examiner. Naomi especially enjoys creating resources that enable students to build a solid understanding of subject content, while also connecting their knowledge with biology’s exciting, real-world applications.

Leander Oates

Reviewer: Leander Oates

Expertise: Development Editor

Leander graduated with First-class honours in Science and Education from Sheffield Hallam University. She won the prestigious Lord Robert Winston Solomon Lipson Prize in recognition of her dedication to science and teaching excellence. After teaching and tutoring both science and maths students, Leander now brings this passion for helping young people reach their potential to her work at SME.