Discrete - Each recorded data has a particular whole value
e.g. Number of pencils in pencil cases, Number of correct answers in a test
Continuous - The recorded data can have any value in a given range
e.g. Height of students, Time taken to run 100m
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The commonly used definition is that discrete data can only take integer values. However, that definition is seriously flawed because it depends on the measurement unit. For example, suppose the data refer to the number of days taken to complete a selection of tasks. The answers are clearly whole numbers.
But now consider what happens if you recode the data to how many weeks. The experiment has not changed but many of the data will have become fractions! Are they no longer discrete data?
A better definition is that discrete data can take only the values defined by some [ordered] set and not any of the values between members of that set.
In maths there is discrete data and continuous data. Continuous data can be measured to any degree of accuracy, e.g. I am 1.8716749873651 metres tall. Discrete data cannot...e.g. I have 2 sisters. Discrete data cannot have halves or decimals, whole numbers only.
Data that can be expressed by numbers, for example 35% or 0.23 or a quarter. The opposite is qualitive data and this would be opinions.
It is a special way of plotting data in statistics. See link for more.
what is commonly used to show discrete data
is the number of bar presses made by your rat in an experemental session continuouse scale or discrete scale?