Now that all three have the same number (I know it won't stay there), let us look at the distribution.
Given that the sum (and hence the average) is the same, other important parameters are range and standard deviation. As you can see, the range is 7 for both Fed and Novak and a whopping 12 for Rafa (less is good in range). Next, if you look at the last column you will see the standard deviation of the distribution. Again, less is good here. Roger has the lowest standard deviation at 2.55. Novak is not very far with 2.73. But, Ralph's std. deviation is way too high. It is at 4.74 almost close to the average.
This should not come as a surprise. Almost everyone know that Rafa's slam counts are skewed. I thought I will just put it out concretely to make it explicit.
| AO | RG | W | USO | SUM | MAX | MIN | RANGE | Std. Dev. |
---|
Roger | 6 | 1 | 8 | 5 | 20 | 8 | 1 | 7 | 2.55 |
Novak | 9 | 2 | 6 | 3 | 20 | 9 | 2 | 7 | 2.73 |
Ralph | 1 | 13 | 2 | 4 | 20 | 13 | 1 | 12 | 4.74 |