 A single confidence interval with a 95% coverage probability level will contain the population parameter in 95% of experiments.However, if one considers 100 confidence intervals simultaneously, each with 95% coverage probability, the expected number of non-covering intervals is 5.If the intervals are statistically independent from each other, the probability that at least one interval does not contain the population parameter is 99.4%.