Mean Absolute Deviation Practice

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What is Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the dispersion or spread of a set of data points. It is calculated by finding the average of the absolute differences between each data point and the mean of the data set.

Tags

CCSS.6.SP.B.5C

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

Back

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

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CCSS.6.SP.B.5C

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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.

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CCSS.6.SP.B.5C

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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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How do you calculate the mean of a data set?

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To calculate the mean, add all the numbers in the data set together and then divide by the number of values.

Tags

CCSS.6.SP.B.5C

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Calculate the Mean Absolute Deviation for the data set: 10, 9, 3, 8, 10.

Back

The Mean Absolute Deviation is 2.

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CCSS.6.SP.B.5C

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Calculate the Mean Absolute Deviation for the data set: 58, 38, 54, 48, 26, 36.

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The Mean Absolute Deviation is 10.

Tags

CCSS.6.SP.B.5C

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If the mean of a data set is 87, what is the Mean Absolute Deviation for the data set: 70, 82, 88, 90, 96, 96?

Back

The Mean Absolute Deviation is 7.3.

Tags

CCSS.6.SP.B.5C

Front

What does it mean if the Mean Absolute Deviation is low?

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 it mean if the Mean Absolute Deviation is high?

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