April In Paris (track)
by Erroll Garner
Year: 1955
From the album Concert By The Sea (track #7)
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April In Paris appears on the following album(s) by Erroll Garner:
- Concert By The Sea (track #7) (this album) (1955)
- The Essence Of Erroll Garner (track #7) (compilation) (1994)
eBay
Condition: Used
eBay
Condition: Used
eBay
Condition: Used
Listen to April In Paris on YouTube
April In Paris 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 14 ratings for this track.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| 12/22/2025 18:33 | Exist-en-ciel | 99,532 | 71/100 | |
| 04/17/2023 19:35 | alexandermause | 17,475 | 85/100 | |
| 11/01/2022 17:12 | LosWochos | 310,983 | 80/100 | |
| 06/05/2022 13:10 |  Jboy56 | 39,183 | 78/100 | |
| 05/14/2022 10:43 | mostlymor | 87,305 | 80/100 |
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 4% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 80.9/100, a mean average of 84.3/100, and a trimmed mean (excluding outliers) of 84.3/100. The standard deviation for this track is 8.2.
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