Groups
The Weak Law of Large Numbers (WLLN) says that the sample average of independent, identically distributed (i.i.d.) random variables with finite mean gets close to the true mean with high probability as the sample size grows.
A confidence interval estimates a fixed but unknown parameter (like a population mean) with a range that would capture the true value in a long run of repeated samples.