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

Tags

CCSS.6.SP.B.5C

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.

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CCSS.6.SP.B.5C

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.

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CCSS.6.SP.B.5C

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.

Tags

CCSS.6.SP.B.5C

Front

What is the formula for calculating Mean Absolute Deviation?

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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.

Tags

CCSS.6.SP.B.5C

Front

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

Back

The Mean is 8.2.

Tags

CCSS.6.SP.B.5C

Front

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

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The Mean Absolute Deviation is 10.

Tags

CCSS.6.SP.B.5C

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.

Tags

CCSS.6.SP.B.5C

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.

Tags

CCSS.6.SP.B.5C

Front

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

Back

The Mean Absolute Deviation is 2.

Tags

CCSS.6.SP.B.5C