the population parameter lies within the interval;
* 95% of the sample data lie within the confidence interval; or
* there is a 95% probability of the parameter estimate from a repeat of the experiment falling within the confidence interval computed from a given experiment.

For example, suppose a factory produces metal rods, and a random sample of 25 rods gives a 95% confidence interval of 36.8 to 39.0 mm for the population mean length.
* It is incorrect to say that there is a 95% probability that the true population