Mean Absolute Deviation Practice

Front

What is the Mean Absolute Deviation (MAD)?

Back

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

Tags

CCSS.6.SP.B.5C

Front

What is the first step to solving for the Mean Absolute Deviation?

Back

Find the mean of the given data set.

Tags

CCSS.6.SP.B.5C

Front

What is the second step to solving for the Mean Absolute Deviation?

Back

Subtract the mean from each original data point.

Tags

CCSS.6.SP.B.5C

Front

What is the last step to solving for the Mean Absolute Deviation?

Back

Find the mean of the new set of absolute differences.

Tags

CCSS.6.SP.B.5C

Front

True or false: The absolute value of a number will always be positive.

Back

True.

Tags

CCSS.6.NS.C.7C

Front

How do you calculate the mean of a data set?

Back

Add all the numbers in the data set together and divide by the total number of values.

Tags

CCSS.6.SP.B.5C

Front

What does 'absolute difference' mean?

Back

The absolute difference between two numbers is the positive difference between them, regardless of their order.

Tags

CCSS.7.NS.A.1C

Front

If the data set is 58, 38, 54, 48, 26, 36, what is the mean?

Back

The mean is 43.33.

Tags

CCSS.6.SP.B.5C

Front

What is the formula for calculating Mean Absolute Deviation?

Back

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

Tags

CCSS.6.SP.B.5C

Front

What is the absolute value of -10?

Back

10.

Tags

CCSS.6.NS.C.7C