Kylie From Connecticut (track)
by Ben Folds
Year: 2008
From the album Way To Normal (track #12)
Listen on Spotify SPOTIFY
Kylie From Connecticut appears on the following album(s) by Ben Folds:
- Way To Normal (track #12) (this album) (2008)
Listen & Collect
Complete your collection or upgrade your listening experience.
Listen to Kylie From Connecticut on YouTube
Kylie From Connecticut ratings
Average Rating = (n ÷ (n + m)) × av + (m ÷ (n + m)) × AVwhere:
av = trimmed mean average rating an item has currently received.
n = number of ratings an item has currently received.
m = minimum number of ratings required for an item to appear in a 'top-rated' chart (currently 10).
AV = the site mean average rating.
Showing latest 5 ratings for this track. | Show all 11 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 04/23/2024 11:18 | phmusic | 73,481 | 100/100 |
| ! | 01/21/2021 12:52 | LosWochos | 316,703 | 80/100 |
| ! | 11/19/2020 04:54 | TribeFan20 | 500 | 86/100 |
| ! | 01/28/2020 21:58 | icantwin3 | 392 | 86/100 |
| ! | 07/10/2018 18:54 | 10,401 | 79/100 |
Rating metrics:
Outliers can be removed when calculating a mean average to dampen the effects of ratings outside the normal distribution. This figure is provided as the trimmed mean. A high standard deviation can be legitimate, but can sometimes indicate 'gaming' is occurring. Consider a simplified example* of an item receiving ratings of 100, 50, & 0. The mean average rating would be 50. However, ratings of 55, 50 & 45 could also result in the same average. The second average might be more trusted because there is more consensus around a particular rating (a lower deviation).
(*In practice, some tracks can have several thousand ratings)
This track has a Bayesian average rating of 76.9/100, a mean average of 77.7/100, and a trimmed mean (excluding outliers) of 77.7/100. The standard deviation for this track is 10.7.
Kylie From Connecticut favourites
Kylie From Connecticut comments
Be the first to add a comment for this track - add your comment!
