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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 represents the average distance between each data point and the mean of the data set.

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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.

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CCSS.6.SP.B.5C

Front

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

Back

Find the mean of the data.

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CCSS.6.SP.B.5C

Front

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

Back

Find the distance each value is from the mean.

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CCSS.6.SP.B.5C

Front

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

Back

Find the mean of the distances.

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CCSS.6.SP.B.5C

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

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2

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CCSS.6.SP.B.5C

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Calculate the Mean Absolute Deviation for the data set: 65, 90, 85, 70, 70, 95, 55.

Back

12.24

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CCSS.6.SP.B.5C

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

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

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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, suggesting more variability.

Tags

CCSS.6.SP.B.5C

Front

Why is Mean Absolute Deviation important in statistics?

Back

Mean Absolute Deviation helps to understand the variability of data, which is crucial for data analysis and interpretation.

Tags

CCSS.6.SP.B.5C