Mean Absolute Deviation Practice

Front

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 is calculated by finding the average of the absolute differences between each data point and the mean of the data set.

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.

Front

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

Back

The second step is to find the distance each value is from the mean.

Front

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

Back

The third step is to find the mean of the distances.

Front

How do you calculate the mean of a data set?

Back

To calculate the mean, add all the numbers in the data set together and then divide by the number of values.

Front

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

Back

The Mean Absolute Deviation is 2.

Front

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

Back

The Mean Absolute Deviation is 10.

Front

If the mean of a data set is 87, what is the Mean Absolute Deviation for the data set: 70, 82, 88, 90, 96, 96?

Back

The Mean Absolute Deviation is 7.3.

Front

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

Back

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

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 of values, showing more variability.