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 represents the average distance between each data point and the mean of the dataset.

Front

How do you calculate the Mean?

Back

To calculate the Mean, add all the numbers in a dataset and then divide by the total number of values.

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 of the data points, and N is the number of data points.

Front

What does it mean if the MAD is low?

Back

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

Front

What does it mean if the MAD is high?

Back

A high MAD indicates that the data points are spread out over a wider range of values, suggesting more variability in the dataset.

Front

Calculate the MAD for the set: 2, 4, 6, 8, 10.

Back

MAD = 2.0

Front

What is the difference between Mean and Median?

Back

Mean is the average of a dataset, while Median is the middle value when the data is ordered.

Front

What is another term for the average of a dataset?

Back

Mean.

Front

If the Mean of a dataset is 20 and the MAD is 5, what does this tell you?

Back

It indicates that, on average, the data points are 5 units away from the mean of 20.

Front

How do you find the Median of a dataset?

Back

To find the Median, order the data points from least to greatest and identify the middle value.