Measures of dispersion are measurement in statistics.
It give us an idea of how values of a set of data are scattered.
Dispersion small if the data set are quantitative measures such as range, interquartile range, variance and standard deviation
The distribution of data is different.
To understand the dispersion of data, the difference between the largest value and the smalles value is taken into consideration.
If the difference between the value is large, it indicates that the data is widely dispersed and vice versa.
The table below shows the masses, in \(kg\) of \(10\) pupils
State the difference in mass, in \(kg\) of the pupils
Solution:
Largest mass \(= 75\)
Smallest mass \(=8\)
Difference in mass,
\(\begin{aligned} &\space = 75-8 \\\\& = 67. \end{aligned}\)
It is a way to show the distributions of a set of data.
Through stem-and-leaf plot, we can see whether the data is more likely to appear or least likely to appear.
Given the data is unorganised, for example
It is a statistical chart that contains points plotted using a uniform scale.
Each point represents a value
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