Collection and Presentation of Data
Learning to organise raw data into frequency distributions.
Core concept
Choosing appropriate class intervals is important — too few intervals can hide meaningful patterns in the data, while too many can make the table cluttered and hard to interpret at a glance. Once organised, data can be visually presented using histograms (similar to bar graphs but for continuous, grouped data with no gaps between bars) or frequency polygons (line graphs connecting the midpoints of each class interval's frequency), each offering different visual insights into the data's distribution.
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Quick notes
• A frequency distribution table shows how often each value/class interval occurs.
• Grouping large data into class intervals (e.g., 0-10, 10-20) makes it more manageable.
• Histograms represent grouped, continuous data with no gaps between bars.
• A frequency polygon connects the midpoints of each class interval's frequency.