MAD 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 is the average of the absolute differences between each data point and the mean of the data set.

Front

How do you calculate the Mean of a data set?

Back

To calculate the Mean, sum all the data points and divide by the number of data points.

Front

What is the first step in finding the Mean Absolute Deviation?

Back

The first step is to calculate the Mean of the data set.

Front

What do you do after finding the Mean in the MAD calculation?

Back

Subtract the Mean from each data point to find the absolute differences.

Front

What is the formula for calculating Mean Absolute Deviation?

Back

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

Front

If the data set is 5, 11, 2, 7, 16, what is the Mean?

Back

The Mean is 8.2.

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Given the data set 58, 38, 54, 48, 26, 36, what is the Mean Absolute Deviation?

Back

The Mean Absolute Deviation is 10.

Front

What is the Mean Absolute Deviation of the ages 11, 34, 16, 18, 22, 30, 18, 20, 15, and 16?

Back

The Mean Absolute Deviation is 5.2.

Front

For the data set 65, 90, 85, 70, 70, 95, 55, what is the Mean Absolute Deviation?

Back

The Mean Absolute Deviation is 12.24.

Front

What is the Mean Absolute Deviation for the data set 100, 104, 107, 105?

Back

The Mean Absolute Deviation is 2.