Key Vocabulary
Mean Absolute Deviation (MAD) — the average
distance each data value is from the mean. It measures how spread out
data is.
(desviación media absoluta)
Absolute Value — the distance a number is from
zero; always positive or zero. Written as |n|.
(valor absoluto)
Deviation — how far a data value is from the
mean.
(desviación)
Spread — how spread out or close together the
data values are.
(dispersión)
Step-by-Step: Calculate MAD
-
1
Find the mean of the data set (add all values,
divide by count).
-
2
Find each deviation — subtract the mean from
each value (value − mean).
-
3
Take the absolute value of each deviation (make
them all positive).
-
4
Find the mean of the absolute deviations (add them
up, divide by count).
Worked Example
Data set: {2, 4, 6, 8, 10}
Step 1: Mean = (2 + 4 + 6 + 8 + 10) ÷ 5 = 30
÷ 5 = 6
| Value |
Value − Mean |
|Deviation| |
| 2 |
2 − 6 = −4 |
4 |
| 4 |
4 − 6 = −2 |
2 |
| 6 |
6 − 6 = 0 |
0 |
| 8 |
8 − 6 = 2 |
2 |
| 10 |
10 − 6 = 4 |
4 |
Step 4: MAD = (4 + 2 + 0 + 2 + 4) ÷ 5 = 12
÷ 5 = 2.4
This means each value is, on average,
2.4 units away from the mean.
Watch Out!
-
Absolute value means ALWAYS positive. Even if the
deviation is negative, you make it positive before averaging.
-
MAD can never be negative. It measures distance,
and distance is always 0 or more.
-
Don't skip finding the mean first! You need the
mean before you can find deviations.
-
MAD tells you about spread, not center. Mean and
median tell you about center.
Practice Problems
Use this data set: {3, 5, 7, 9, 11}