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

How do you calculate the mean of a data set?

Back

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

Front

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

Back

The first step is to find the mean of the given data set.

Front

What is the formula for Mean Absolute Deviation?

Back

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

Front

If the data set is 15, 17, 11, 12, 13, 16, what is the mean?

Back

The mean is 14.

Front

What does the absolute value of a number represent?

Back

The absolute value of a number represents its distance from zero on the number line, always expressed as a positive value.

Front

True or False? The Mean Absolute Deviation can be zero.

Back

True. The Mean Absolute Deviation can be zero if all data points are the same.

Front

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

Back

The Mean Absolute Deviation is 10.

Front

What does a lower Mean Absolute Deviation indicate about a data set?

Back

A lower Mean Absolute Deviation indicates that the data points are closer to the mean, showing less variability.

Front

What does a higher Mean Absolute Deviation indicate about a data set?

Back

A higher Mean Absolute Deviation indicates that the data points are more spread out from the mean, showing greater variability.