Mean Absolute Deviation 8.11B

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

Front

How do you calculate the Mean Absolute Deviation?

Back

1. Find the mean of the data set. 2. Calculate the absolute deviations from the mean for each data point. 3. Find the mean of these absolute deviations.

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

If the data set is {2, 4, 6, 8}, what is the mean?

Back

The mean is (2 + 4 + 6 + 8) / 4 = 5.

Front

Given the data set {15, 25, 10, 2, 8}, what is the mean absolute deviation?

Back

The mean absolute deviation is 6.4 points.

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, suggesting 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, suggesting more variability.

Front

In the context of temperature data, what does Mean Absolute Deviation help to understand?

Back

Mean Absolute Deviation helps to understand how much the temperatures vary from the average temperature.

Front

What is the Mean Absolute Deviation of the heights: 600 mm, 470 mm, 170 mm, 430 mm, 300 mm?

Back

The Mean Absolute Deviation is 127.2 mm.