Mean Absolute Deviation PART 1

Front

What is the Mean Absolute Deviation (MAD)?

Back

The 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

What is the first step when calculating the Mean Absolute Deviation?

Back

Find the mean of the data.

Front

How do you find the distance each value is from the mean?

Back

Subtract the mean from each data point to find the absolute differences.

Front

What does a lower Mean Absolute Deviation indicate?

Back

A lower Mean Absolute Deviation indicates that the data points are closer to the mean, suggesting more consistency.

Front

What does a higher Mean Absolute Deviation indicate?

Back

A higher Mean Absolute Deviation indicates that the data points are more spread out from the mean, suggesting less consistency.

Front

Calculate the Mean Absolute Deviation for the set: 85, 90, 68, 75, 79.

Back

6.48

Front

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

Back

10

Front

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

Back

2

Front

What is the formula for Mean Absolute Deviation?

Back

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

Front

If the Mean Absolute Deviation of a data set is 4.2, what can be inferred about the data?

Back

The data points are relatively close to the mean, indicating consistency.