Collecting and Representing DataAQA GCSE Maths: Revision notes
Section 1
What Types of Data Can We Collect?
Before collecting data, you must understand the vocabulary used to describe it:
- Primary data: data you collect yourself, first-hand
- Secondary data: data collected by someone else, that you then use
- Discrete data: data that can only take specific, separate values (e.g. number of siblings)
- Continuous data: data that can take any value within a range (e.g. height, time)
The number of pets a student owns is discrete data; the exact time it takes to run 100 m is continuous data.
Section 2
How Do We Choose an Appropriate Graphical Representation?
Once data is collected, it can be interpreted, analysed and compared across different data sets using a graphical representation that suits the type of data — discrete, continuous or grouped. Choosing the right diagram for the data is a key skill: categorical data suits different charts to continuous numerical data, for example.
Section 3
How Do We Represent Categorical and Discrete Data?
Different diagrams suit different types of data:
| Diagram | Best suited to |
|---|---|
| Frequency table | Any data, as a first step |
| Bar chart | Categorical data |
| Pie chart | Categorical data (proportions of a whole) |
| Pictogram | Categorical data |
| Vertical line chart | Ungrouped discrete numerical data |
| Tables and line graphs | Time series data |
You should be able to interpret and construct each of these correctly, and to justify why a chosen diagram suits a particular data set.
Using a bar chart for continuous data (with gaps between bars) instead of a histogram or line graph is a common error — categorical data uses gaps, continuous data usually does not.
Must Know
- Know the difference between primary and secondary data, and between discrete and continuous data
- Choose a graphical representation that suits the type of data being shown (categorical, discrete or continuous)
- Use bar charts, pie charts and pictograms for categorical data
- Use vertical line charts for ungrouped discrete numerical data
- Use tables and line graphs for time series data
- Always be ready to justify why a particular diagram is suitable for a given data set
That's the notes covered.
Carry on to the next subtopic.