Respuesta :

Answer:

the difference between a data value in a set and the mean of the set. the mean of all deviations in a set equals zero. absolute value. the distance of any value on a number line from zero. the sum of the absolute values of deviations on each side of the mean are equal.

Step-by-step explanation:

A data set that has a mean absolute deviation of 0 means the average difference between  the elements in a data set and mean of the same data set is very less.

What is Mean absolute Deviation?

The mean absolute deviation of a dataset is the average distance between each data point and the mean. It gives us an idea about the variability in a dataset.

As we know the mean absolute deviation is the average distance between each data point and the mean.

If more than 50% of your data have identical values, your MAD will equal zero.

Also, the mean absolute deviation of a dataset is the average distance between each data point and the mean.

If the mean absolute deviation (MAD) is close to 0,it means the average difference between the elements in a data set and mean of the same data set is very less.

Thus,  the average difference between  the elements in a data set and mean of the same data set is very less.

Learn more about the mean absolute deviation here:

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