MAD

Front

What is the Mean Absolute Deviation (MAD)?

Back

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 the first step when calculating the Mean Absolute Deviation?

Back

Find the mean of the data.

Tags

CCSS.6.SP.B.5C

Front

What is another word for average?

Back

Mean.

Tags

CCSS.L.5.5C

Front

What is the formula for calculating the Mean Absolute Deviation?

Back

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

Tags

CCSS.6.SP.B.5C

Front

How do you find the mean of a set of numbers?

Back

Add all the numbers together and divide by the count of numbers.

Tags

CCSS.6.SP.B.5C

Front

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

Back

Find the distance each value is from the mean.

Tags

CCSS.6.SP.B.5C

Front

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

Back

Find the mean of the differences.

Tags

CCSS.6.SP.B.5C

Front

Calculate the MAD for the data set: 58, 38, 54, 48, 26, 36.

Back

10.

Tags

CCSS.6.SP.B.5C

Front

Calculate the MAD for the data set: 1, 4, 8, 9, 10, 11, 15.

Back

3.4.

Tags

CCSS.6.SP.B.5C

Front

What does 'absolute' mean in the context of Mean Absolute Deviation?

Back

It refers to the non-negative value of the distance from the mean, ignoring the direction.

Tags

CCSS.6.SP.B.5C