The difference between the mean time is about 16 times the mean absolute deviation of the data sets.
Explanation:
We know the mean and absolute mean deviation of two team in a tables as:
Team A Team B
Mean 127.9s 127.4s
Mean absolute deviation 0.26s 0.23s
The difference of mean between two team A and B = 0.5 s
Also,
The difference of mean absolute deviation = 0.03 s
Now, let the difference of the mean times be equal to n times the difference of the mean absolute deviation of two teams.
0.5 = n x 0.03
n = 16.667 (Approx 16)
Therefore, the difference between the mean time is about the 16 times the absolute deviation of the data sets.