azzaman333
meh
Not certain, but I would guess it's because the confidence interval is taken from a random sample of the population at a whole. So depending on the specific sample you get, you could get vastly different means and standard deviations and therefore confidence intervals. You can't strictly say that the specific CI you've calculated has a 95% chance of containing the true mean, as that may not be a property that is strictly true to the calculated interval.
I'm sure I remember being given a good reason for it at some point during my undergrad, whether or not this is right I can't recall though.
I'm sure I remember being given a good reason for it at some point during my undergrad, whether or not this is right I can't recall though.