My Dear Companion (track)
by Dolly Parton / Linda Ronstadt / Emmylou Harris
Year: 1987
From the album Trio (track #7)
Listen on Spotify
My Dear Companion appears on the following album(s) by Dolly Parton / Linda Ronstadt / Emmylou Harris:
- Trio (track #7) (this album) (1987)
- The Complete Trio Collection (track #7) (compilation) (2016)
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Condition: Brand New
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Condition: Very Good
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Condition: Brand New
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Listen to My Dear Companion on YouTube
My Dear Companion 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.
| Rating | Date updated | Member | Track ratings | Avg. track rating |
|---|---|---|---|---|
| ! | 04/14/2024 19:13 | phmusic | 62,859 | 100/100 |
| ! | 04/05/2024 03:37 |  AAL2014 | 34,033 | 76/100 |
| ! | 06/22/2022 14:09 | daCritic | 33,744 | 76/100 |
| ! | 02/11/2022 06:55 |  Jboy56 | 39,199 | 78/100 |
| ! | 02/17/2021 02:03 | MaxStorm98 | 51,483 | 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 12% of all tracks on BestEverAlbums.com. This track has a Bayesian average rating of 78.5/100, a mean average of 80.5/100, and a trimmed mean (excluding outliers) of 80.5/100. The standard deviation for this track is 11.8.
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