# What is the difference between a confidence interval and a confidence level?

The** confidence level** is the percentage of times you expect to get close to the same estimate if you run your experiment again or resample the population in the same way.

The **confidence interval** is the actual upper and lower bounds of the estimate you expect to find at a given level of confidence.

For example, if you are estimating a 95% confidence interval around the mean proportion of female babies born every year based on a random sample of babies, you might find an upper bound of 0.56 and a lower bound of 0.48. These are the upper and lower bounds of the confidence interval. The confidence level is 95%.

This means that 95% of the time, you can expect your estimate to fall between 0.56 and 0.48.