I have two sets of independent data including 10 samples.
It's like,
set A set B
1 961 965
2 919 934
3 886 921
4 896 913
5 881 967
6 918 924
7 927 925
8 942 915
9 477 896
10 921 930
These are the time taken to arrive destinations for vehicles.
Because the environment is dynamic, it sometimes arrives early and late.
And, set A is the results from transportation policy A, and set B is from transportation policy B.
I assume that I don't know whether policy A and policy B are same or not.
And, What I want to know policy A is different from policy B? and how different?
.
Before thinking about statistics, my method to calculate was just,
min value of set A < average of set B < max value of set A
.
So, if the average is in range of above inequation, policy B is different from policy A.
To be accurate, I considered Jensen-Shannon divergence (because it should be symmetric).
But I'm not sure that Jensen-Shannon divergence is the best though the samples are few.
How can I compare two sets?