Sheep (track) by Pink Floyd
Year: 2001
From the album Echoes: The Best Of Pink Floyd (track #12)
Sheep appears on the following album(s) by Pink Floyd:
- Animals (track #4) (1977)
- Echoes: The Best Of Pink Floyd (track #12) (this album) (compilation) (2001)
- A Collection Of Great Dance Songs (track #3) (compilation) (1981)
- Shine On (track #26) (compilation) (1992)
Upcoming concerts
Listen to Sheep on YouTube
Sheep ratings
where:
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 43 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
100/100  | 11/08/2023 14:17 |  Tamthebam | | 79/100 |
100/100 | 05/16/2023 18:06 | Aaron98 | | 90/100 |
5/100 | 02/05/2023 08:54 | Musiclovah69 | | 67/100 |
100/100 | 01/25/2023 03:47 | Fevernova | | 82/100 |
100/100 | 01/10/2023 09:07 | MaxStorm98 | | 99/100 |
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 is rated in the top 2% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 86.1/100, a mean average of 84.8/100, and a trimmed mean (excluding outliers) of 88.5/100. The standard deviation for this track is 21.9.
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Sheep favourites
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Sheep comments
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