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 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 mean of a data set?

Back

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

Front

What is the mean of the data set: 6, 7, 2, 1, 5, 2, 1, 6?

Back

3.8

Front

What is the formula for calculating Mean Absolute Deviation?

Back

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

Front

What is the mean absolute deviation of the data set: 13, 14, 17, 28, 28?

Back

6.4

Front

How do you calculate the absolute deviation of a data point?

Back

Absolute deviation is calculated as |x - mean|, where x is the data point and mean is the average of the data set.

Front

What is the Mean Absolute Deviation of the data set: 58, 38, 54, 48, 26, 36?

Back

10

Front

If the mean of a data set is 8.2, what is the Mean Absolute Deviation of the data set: 5, 11, 2, 7, 16?

Back

4.2

Front

Why is Mean Absolute Deviation important in statistics?

Back

MAD helps to understand the variability in a data set and is useful for comparing the spread of different data sets.