A confidence interval is a range of values, derived from sample data, that is likely to contain the true population parameter (e.g., population mean) with a specified level of confidence (e.g., 95% or 99%). It represents the degree of uncertainty or precision of the sample estimate, indicating that if the same sampling process were repeated multiple times, a certain percentage of the resulting intervals would contain the true parameter.