Mean Absolute Deviation

Front

What is Mean Absolute Deviation (MAD)?

Back

Mean Absolute Deviation (MAD) is a measure of the dispersion of a set of data points. It is the average of the absolute deviations from the mean.

Front

How do you calculate the Mean Absolute Deviation?

Back

1. Find the mean of the data set. 2. Subtract the mean from each data point and take the absolute value. 3. Find the average of these absolute values.

Front

What does a lower MAD indicate about a data set?

Back

A lower MAD indicates that the data points are closer to the mean, suggesting more consistency in the data.

Front

What does a higher MAD indicate about a data set?

Back

A higher MAD indicates that the data points are more spread out from the mean, suggesting less consistency in the data.

Front

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

Back

True

Front

True or False: You subtract the mean from each data value to find the absolute deviation.

Back

True

Front

What is the first step in finding the MAD for a data set?

Back

The first step is to calculate the mean of the data set.

Front

If the data set is 2.50, 3.75, 1.25, 2.25, 3.00, what is the mean?

Back

The mean is 2.50.

Front

Given the data set 65, 90, 85, 70, 70, 95, 55, what is the MAD?

Back

The MAD is 12.24.

Front

What is the formula for calculating the absolute deviation of a single data point?

Back

Absolute Deviation = |Data Point - Mean|.