parameter in a population based on sample data. Specifically, a confidence interval provides a range of values, derived from the sample statistics, that is likely to contain the true population parameter (such as the mean, proportion, or difference between means) with a certain level of confidence, usually expressed as a percentage (e.g., 95% or 99%).
For example, if a 95% confidence interval for the mean is calculated to be (10, 20), we can say that we are 95% confident that the true population mean falls within this interval. The width of the confidence interval can be influenced by the sample size, variability in the data, and the desired level of confidence.