1. Interpret a Confidence Interval

A confidence interval (CI) is a range of values derived from sample data that is used to estimate an unknown population parameter. For example, if a survey reports a mean income with a 95% CI of [$40,000, $50,000], it suggests that the true mean income of the population lies between these two values 95% of the time.

If you were to repeat the survey many times, 95% of the resulting confidence intervals would contain the true mean.

For more detailed information, visit this external article.