# Confidence Interval¶

**A 95% confidence for the mean μ is given by (-2.14,3.07).**

There’s no probability, where does the probability come in?

it comes in from random sampling. The fact that if you select a random sample and compute your estimator and if you got to do it again or if someone else did it, they’re going to get a different estimator based on the randomness of the sample.

Collect your sample.

Estimate the parameter.

Return a confidence interval.

If you did this again, you would not get the same results! Different samples and different confidence intervals.

Multiple samples give multiple confidence intervals. `95% of them will correctly capture μ and 5% miss it.`