"Better" mean depending on sample size

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I'm terribly sorry about this super noob math question, but I've been reading for a while now and don't seem to find a starting point.

This is my problem:

My samples have very variable sizes. I want to sort them by "best" mean, but having into account the size of the sample.

In other words, I'm comparing 2 movies A and B with equal mean. However, Movie A was scored 10 by 2 users, and movie B was scored 10 by 1000 users. Of course, the average score of movie B should be way "heavier", as the sample is larger. How can I calculate this "weight"?

Also, if you've seen this scenary before, is variance involved in any way? I'm not sure if there could be a case in which Movie B has lower mean than Movie A but Movie B is still "heavier".

If you could point me in the right direction to solve this, I would be greatful!

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