The nth raw moment about zero is the expected value of Xn.
1st raw moment:

2nd raw moment = mean

3rd raw moment:

4th raw moment:

For the data (1, 2, 2, 4, 6), the raw moments can be found as follows:
| x | x2 | x3 | x4 | |
| 1 | 1 | 1 | 1 | |
| 2 | 4 | 8 | 16 | |
| 2 | 4 | 8 | 16 | |
| 4 | 16 | 64 | 256 | |
| 6 | 36 | 216 | 1296 | |
| sum | 15 | 61 | 297 | 1585 |
| μ'i | 3 | 12.2 | 59.4 | 317 |
Central moments are moments about the mean.
1st central moment (m1)

2nd central moment (m2) = variance

3rd central moment (m3)

4th central moment (m4)


For the data (1, 2, 2, 4, 6), the mean is 3. Therefore,
| x | d | d2 | d3 | d4 | |
| 1 | -2 | 4 | -8 | 16 | |
| 2 | -1 | 1 | -1 | 1 | |
| 2 | -1 | 1 | -1 | 1 | |
| 4 | 1 | 1 | 1 | 1 | |
| 6 | 3 | 9 | 27 | 81 | |
| sum | 15 | 0 | 16 | 18 | 100 |
| mi | 0 | 3.2 | 3.6 | 20 |
The standardized moment is a moment that has normalized.
1st standardized moment (a1)

2nd standardized moment (a2)

3rd standardized moment (a3)

4th standardized moment (a4)


For the data (1, 2, 2, 4, 6), the mean is 3 and the standard deviation is 1.79. Therefore,
| x | z | z2 | z3 | z4 | |
| 1 | -1.118 | 1.250 | -1.398 | 1.563 | |
| 2 | -0.559 | 0.313 | -0.175 | 0.098 | |
| 2 | -0.559 | 0.313 | -0.175 | 0.098 | |
| 4 | 0.559 | 0.313 | 0.175 | 0.098 | |
| 6 | 1.677 | 2.813 | 4.717 | 7.910 | |
| sum | 15 | 0.000 | 5.000 | 3.144 | 9.766 |
| ai | 0.000 | 1.000 | 0.629 | 1.953 |