Mean Absolute Deviation

Front

What is Mean Absolute Deviation (MAD)?

Back

MAD is a measure of the dispersion of a set of data points. It is the average of the absolute differences between each data point and the mean of the data set.

Front

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

Back

True

Front

How do you calculate the mean of a data set?

Back

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

Front

What is the first step in finding the Mean Absolute Deviation?

Back

Calculate the mean of the data set.

Front

What is the formula for Mean Absolute Deviation?

Back

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

Front

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

Back

10

Front

What does the absolute difference represent in the context of MAD?

Back

The absolute difference represents how far each data point is from the mean, regardless of direction.

Front

Which of the following is the mean absolute deviation for the set of data? 2.50, 3.75, 1.25, 2.25, 3.00.

Back

0.66

Front

Find the MAD for the following set: 85, 90, 68, 75, 79.

Back

6.48

Front

What is the significance of a low Mean Absolute Deviation?

Back

A low MAD indicates that the data points are close to the mean, suggesting less variability.