Mean Absolute Deviation

Front

What is Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the dispersion of a set of data points. It represents the average distance between each data point and the mean of the data set.

Front

What is the first step when calculating the Mean Absolute Deviation?

Back

Find the mean of the data.

Front

What is the second step when calculating the Mean Absolute Deviation?

Back

Find the distance each value is from the mean.

Front

What is the third step when calculating the Mean Absolute Deviation?

Back

Find the mean of the distances.

Front

How do you calculate the mean of a data set?

Back

Add all the values together and divide by the number of values.

Front

What is the formula for Mean Absolute Deviation?

Back

MAD = (Σ |x_i - mean|) / N, where x_i represents each data point, mean is the average of the data, and N is the number of data points.

Front

If the data set is 0, 0, 5, 6, 9, and 2, what is the mean?

Back

The mean is 3.66.

Front

If the data set is 0, 0, 5, 6, 9, and 2, what is the Mean Absolute Deviation?

Back

The Mean Absolute Deviation is 3.

Front

What does a higher Mean Absolute Deviation indicate about a data set?

Back

A higher Mean Absolute Deviation indicates that the data points are more spread out from the mean.

Front

What does a lower Mean Absolute Deviation indicate about a data set?

Back

A lower Mean Absolute Deviation indicates that the data points are closer to the mean.