OCR · A-Level · Biology
Course version: H420 · Version from Sept 2025
Implementing: (c) presenting observations and data in an appropriate format.
Choosing an appropriate format means matching the presentation to the type of data collected.
Checked against the OCR H420 specification (opens in a new tab) on .
- Point 3 of 3
- 4 key terms
Study notes
From the checked teaching notes for this specification point.
The idea
Choosing an appropriate format means matching the presentation to the type of data collected. Continuous data, such as length or temperature, suit a line graph or scattergraph with a continuous scale; categoric or discrete data, such as counts of species or numbers in categories, suit a bar chart. Recorded raw observations belong in a ruled table with clear headings that state the quantity and its unit, for example 'Time / s' or 'Length / mm', and with the independent variable in the first column. Tables should have consistent decimal places and no units buried in data cells. When selecting an option, check that the axes or headings carry units, that the scale is linear and labelled, and that the format matches whether the variable is continuous or categoric.
What earns the marks
- Matches the format to the data type: line graph or scattergraph for continuous data, bar chart for categoric or discrete data.
- Writes table headings that name the quantity and its unit, for example 'Mass / g', rather than putting units only in cells.
- Places the independent variable in the first column or on the x-axis and the dependent variable on the y-axis.
- Uses a linear, evenly labelled scale with units stated on each axis.
- Keeps a consistent number of decimal places or significant figures across a data column.
Common mistakes and how to put them right
Plotting categoric data such as species names on a line graph.
Put it right: Use a bar chart with separate bars.
Writing a heading as just 'Time' with units only inside the cells.
Put it right: Include the unit in the heading, for example 'Time / s'.
Using an uneven or unlabelled axis scale.
Put it right: Use equal intervals with each division labelled and the unit shown.
Mixing decimal places within one column.
Put it right: Record all values to the same precision.
Exam tips
- Identify whether the variable is continuous or categoric before choosing a graph type.
- Check every heading and axis for a stated unit before accepting an option.
- Confirm the independent variable is on the x-axis or first column and the dependent variable on the y-axis.
Try the lesson
The start of the Implementing: (c) presenting observations and data in an appropriate format. lesson, made from checked teaching notes for this specification point.
Have a go first
A student records the colour change seen when testing a food sample with Benedict's reagent. Which format is most appropriate for this qualitative observation?
Listen
Choosing an appropriate format means matching the presentation to the type of data collected. Continuous data, such as length or temperature, suit a line graph or scattergraph with a continuous scale; categoric or discrete data, such as counts of species or numbers in categories, suit a bar chart. Recorded raw observations belong in a ruled table with clear headings that state the quantity and its unit, for example 'Time / s' or 'Length / mm', and with the independent variable in the first column. Tables should have consistent decimal places and no units buried in data cells. When selecting an option, check that the axes or headings carry units, that the scale is linear and labelled, and that the format matches whether the variable is continuous or categoric. A strong answer earns marks for these points. Matches the format to the data type: line graph or scattergraph for continuous data, bar chart for categoric or discrete data. Writes table headings that name the quantity and its unit, for example 'Mass / g', rather than putting units only in cells. Places the independent variable in the first column or on the x-axis and the dependent variable on the y-axis. Uses a linear, evenly labelled scale with units stated on each axis. A common slip: Plotting categoric data such as species names on a line graph. Instead, use a bar chart with separate bars. Exam tip: Identify whether the variable is continuous or categoric before choosing a graph type.
Key words
Say what each word means before you turn the card.
Matching graph type to data type
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Table headings with quantity and unit
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Axis labelling and linear scales
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Consistent precision in recorded data
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See every definition
- Matching graph type to data type
- Continuous data suit a line graph or scattergraph with a continuous scale, while categoric or discrete data suit a bar chart.
- Table headings with quantity and unit
- Clear headings state the quantity and its unit, for example 'Time / s' or 'Length / mm', with no units buried in data cells.
- Axis labelling and linear scales
- Each axis carries units and the scale is linear and labelled, with the independent variable on the x-axis.
- Consistent precision in recorded data
- Tables should have consistent decimal places across a data column.
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