Comparing ratings & statistical difference I have a dataset where I'm comparing overall ratings between multiple "products." It looks something like this:
Product 1: 3.5
Product 2: 4.1
Product 3: 3.7
...
Product 7: 3.3
What I'm doing is comparing Product 1 to all the others and I'd like to highlight whether or not there's a statistical difference in the ratings (if that's a thing) between Product 1 and the others. I'm not sure if that's possible.
I read that maybe using an independent t-test is the way to go, but I'm not sure if that's 100% accurate since the dataset I have isn't all from the same raters. For example, the data on Product 1 wasn't rated by the same people as Product 2.
Is there a more accurate way to do this?

Without having the individual measurements, I cannot see a way to do this as an ANOVA-style comparison between groups. However, analysis of your data is not impossible. The way I might proceed is to give the relative positions of the products. Of the four you listed, product $1$ is middle-of-the-pack.
Particularly if you have more than seven products (preferably more like $>100$), you can be formal about this by giving the percentiles of the products. Wouldn't it be nice to tell your boss that product $1$ is in the bottom $10\%$ of ratings but product $90$ is in the top $2\%$ of ratings?
