Basically in statistics, we sometimes choose to toss-out outliers. Calculating outliers the proper way can be complicated, but what I've suggested is a lot easier. It helps eliminate the dominant misleading effect of extreme outliers like Gassiev.dagilechia wrote: ↑19 Aug 2019, 01:31The idea of skipping #1 sounds weird but i get your point. I will check it out in next days.
Example:
Country 1's top ratings: 900, 7, 6, 6, 6, 5, 5, 5, 5, 4
Country 2's top ratings: 105, 96, 88, 86, 84, 81, 77, 76, 74, 73
Which country looks like more of a boxing country (country 2)? Does including outliers better reflect that, or does tossing-out outliers better reflect that?