Mean Deviation for Ungrouped and grouped data. Discrete and Continuous frequency distribution

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Mean Absolute deviation is a statistical measure that quantifies the variability or dispersion of a data set around its mean.
It tells us how far on average all the data values are from the mean
Unlike variance and standard deviation, absolute deviation does not square the deviations from the mean,
but instead, it uses the absolute value of these deviations.
Thus it is more resistant to outliers and extreme values than the variance and standard deviation
It is computed by first finding the mean of all the values, then subtracting the mean from each value to get the deviations or distance from the mean, applying the absolute values, and then finally finding the average of these absolute deviations
A mean deviation of 2 for example, means that on average, all the data points are 2 units away from the mean of the data.
Absolute deviation is often used in the analysis of public health data, where extreme values can have a significant impact on public health interventions and decisions

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