I am trying to understand confidence intervals better.
If two different labs ran the same experiment, with the same number of samples and both got the same mean values but their 95% CI differed.
Lab 1 got a mean value of 1.6 & 95% CI: 1.0 to 2.2
Lab 2 got a mean value of 1.6 & 95% CI: 1.5 to 1.7
What could you actually deduce from this?
If you took both results separately, would you be any more confident that the true mean was 1.6 from the results from lab 2? I feel like I am not really understanding what a CI is and misinterpreting it.