Mean Absolute Deviation

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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.

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How do you calculate the Mean Absolute Deviation?

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1. Find the mean of the data set. 2. Calculate the distance of each data point from the mean. 3. Find the mean of these distances.

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

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The first step is to find the mean of the data set.

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

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The second step is to find the distance each value is from the mean.

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

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The third step is to find the mean of the distances.

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If the data set is 10, 9, 3, 8, 10, what is the Mean Absolute Deviation?

Back

The Mean Absolute Deviation is 2.

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If the data set is 29, 58, 15, 129, 75, 22, what is the Mean Absolute Deviation?

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The Mean Absolute Deviation is 32.67.

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

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A low Mean Absolute Deviation indicates that the data points are close to the mean, showing less variability.

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

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A high Mean Absolute Deviation indicates that the data points are spread out over a wider range of values, showing more variability.

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What is the mean of the data set 6, 7, 2, 1, 5, 2, 1, 6?

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The mean of the data set is 3.8.