A 90% confidence level means that if we were to repeat the sampling process and construct confidence intervals, approximately 90% of those intervals would contain the true population parameter.
Related terms
Confidence level: The probability that the calculated confidence interval includes the true population parameter.
Significance level: The probability of rejecting the null hypothesis when it is actually true. It is often denoted as alpha (α) and represents the risk of making a Type I error.
Point estimate: An estimate of an unknown population parameter based on sample data.