Buffdog
Registered User
- Feb 13, 2019
- 9,436
- 23,396
I've given this idea way more thought than it deserves. Basically, purposefully excluding any outlier of a 16 game stretch in the search for how good (or bad) a team may or may not be is a disgrace to data analysis. That goes for both good AND bad stretches. Also, if someone is going to use one sample size, they should compare it to another of the same size (notn16 games to 32 games)
If someone really wanted to use stretches of games to look at a team's performance, this is how it should be done:
First, decide on an interval of games. Garrett chose 16 games to omit, so let's use that. You need to look at ALL stretches of 16 games. For this season, there are 35 such stretches (1-16, 2-17, 3-18... 35-50)
Look at the number of points (or points percentage) earned during each if those stretches and plot them on a graph. From there, it would be easy to see the outliers (both good and bad) and you'd be able to draw a curve that shows the average
Big outliers (in both the positive and negative directions) like games 1-16 (30 points) and games 19-34 (15 points) should be discussed, but never omitted
If someone really wanted to use stretches of games to look at a team's performance, this is how it should be done:
First, decide on an interval of games. Garrett chose 16 games to omit, so let's use that. You need to look at ALL stretches of 16 games. For this season, there are 35 such stretches (1-16, 2-17, 3-18... 35-50)
Look at the number of points (or points percentage) earned during each if those stretches and plot them on a graph. From there, it would be easy to see the outliers (both good and bad) and you'd be able to draw a curve that shows the average
Big outliers (in both the positive and negative directions) like games 1-16 (30 points) and games 19-34 (15 points) should be discussed, but never omitted