Discrete data consist of separate, countable values, often arising from counting objects or events; continuous data arise from measurement and can take any value within an interval, subject to the precision of the measuring instrument. The distinction depends on the quantity and its context, not simply on whether recorded values are whole numbers, since discrete data may be fractional and continuous measurements may be rounded; it supports selecting appropriate graphs, interpreting distributions, and building statistical models.
Discrete data come from counting. The possible values are separate and countable, such as .
Continuous data come from measuring. The quantity can take any value within an interval, depending on how precisely it is measured.
To decide:
Worked example
A student measures plants and records:
Classify each type of data.
Step 1: Examine the number of leaves.
The student is counting separate leaves. A plant might have leaves or leaves, but not leaves.
Therefore, the number of leaves is discrete data.
Step 2: Examine the plant height.
The student is measuring length. A plant recorded as cm could have an actual height anywhere from cm up to, but not including, cm when rounded to the nearest centimetre. More precise equipment could record values such as cm.
Therefore, plant height is continuous data.
Answer:
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