There are many:
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It is a statistical measure that helps you understand the sample/population data.
It is a very easily calculated measure of the spread of data.
You can use the mean to answer some statistical questions: it is a measure of the central tendency of a set of data. However, it is no good in identifying the maximum value of a set of data, for example.
They are a simple measure of the spread of the data, which is not affected by extreme values.
It is a simple but crude measure of the spread of data.
The least square mean is a statistical measure that minimizes the sum of squared differences between data points and the mean, while the mean is the average of all data points. The least square mean takes into account the variability of the data, while the mean does not consider the spread of the data.
It is a statistical measure that helps you understand the sample/population data.
It gives a measure of the spread of the data.
It is a very easily calculated measure of the spread of data.
range
It is a measure of how variable the data is. The average distance from the average.
You can use the mean to answer some statistical questions: it is a measure of the central tendency of a set of data. However, it is no good in identifying the maximum value of a set of data, for example.
It is a measure of the spread of the data around its mean value.
They are a simple measure of the spread of the data, which is not affected by extreme values.
It is a simple but crude measure of the spread of data.
Standard deviation is a measure of the spread of data.
It is a measure of the spread or dispersion of the data.