No.
The average of the deviations, or mean deviation, will always be zero.
The standard deviation is the average squared deviation which is usually non-zero.
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Are you talking of this in means of Statistics? If you are, then the variation from the mean is measured in standard deviation.
No. A small standard deviation with a large mean will yield points further from the mean than a large standard deviation of a small mean. Standard deviation is best thought of as spread or dispersion.
The mean of a distribution is a measure of central tendency, representing the average value of the data points. In this case, the mean is 2.89. The standard deviation, which measures the dispersion of data points around the mean, is missing from the question. The standard deviation provides information about the spread of data points and how closely they cluster around the mean.
Standard deviation is a measure of variation from the mean of a data set. 1 standard deviation from the mean (which is usually + and - from mean) contains 68% of the data.
Relative dispersion = coefficient of variation = (9000/45000)(100) = 20.