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.

Tags

CCSS.6.SP.B.5C

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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.

Tags

CCSS.6.SP.B.5C

Front

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

Back

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

Tags

CCSS.6.SP.B.5C

Front

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

Back

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

Tags

CCSS.6.SP.B.5C

Front

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

Back

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

Tags

CCSS.6.SP.B.5C

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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.

Tags

CCSS.6.SP.B.5C

Front

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

Back

The Mean Absolute Deviation is 32.67.

Tags

CCSS.6.SP.B.5C

Front

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

Back

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

Tags

CCSS.6.SP.B.5C

Front

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

Back

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

Tags

CCSS.6.SP.B.5C

Front

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

Back

The mean of the data set is 3.8.

Tags

CCSS.6.SP.B.5C