Mean Absolute Deviation

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What is Mean Absolute Deviation (M.A.D.)?

Back

Mean Absolute Deviation (M.A.D.) is a measure of the dispersion or variability 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. Subtract the mean from each data point and take the absolute value of each result. 3. Find the average of these absolute values.

Tags

CCSS.6.SP.B.5C

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What does a higher Mean Absolute Deviation indicate?

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A higher Mean Absolute Deviation indicates greater variability or spread in the data set.

Tags

CCSS.6.SP.B.5C

Front

What does a lower Mean Absolute Deviation indicate?

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

Tags

CCSS.6.SP.B.5C

Front

Calculate the Mean Absolute Deviation for the data set: 11, 34, 16, 18, 22, 30, 18, 20, 15, 16.

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5.2

Tags

CCSS.6.SP.B.5C

Front

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

Back

10

Tags

CCSS.6.SP.B.5C

Front

Which of the following M.A.D. values indicates the most variability: 13, 10, 11, 16?

Back

16

Tags

CCSS.6.SP.B.5C

Front

Calculate the Mean Absolute Deviation for the data set: 58, 38, 54, 48, 20, 26, 36.

Back

11.42

Tags

CCSS.6.SP.B.5C

Front

What is the Mean Absolute Deviation of the data set: 13, 14, 17, 28, 28?

Back

6.4

Tags

CCSS.6.SP.B.5C

Front

Why is Mean Absolute Deviation important in statistics?

Back

Mean Absolute Deviation is important because it provides insight into the variability of data, helping to understand the distribution and reliability of the data set.

Tags

CCSS.6.SP.B.5C