Mean Absolute Deviation

Front

What is the definition of Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the dispersion of a set of data points around their mean, calculated as the average of the absolute differences between each data point and the mean.

Tags

CCSS.6.SP.B.5C

Front

What is another term for 'average'?

Back

Mean.

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.

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 absolute differences between each data point and 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 absolute differences.

Tags

CCSS.6.SP.B.5C

Front

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

For the data set 85, 90, 68, 75, 79, what is the Mean Absolute Deviation?

Back

The Mean Absolute Deviation is 6.48.

Tags

CCSS.6.SP.B.5C

Front

What is the formula for calculating Mean Absolute Deviation?

Back

MAD = (1/n) * Σ|xi - mean|, where n is the number of data points, xi is each data point, and mean is the average of the data set.

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, suggesting low variability.

Tags

CCSS.6.SP.B.5C