In statistics, unlike its general use, a parameter refers to a number that describes an entire population (e.g., the population mean ). In contrast, an estimate or statistic refers to a number derived from a sample, used to approximate the parameter (e.g., the sample mean ). In other words, the estimate represents what the investigator knows, while the parameter represents what the investigator aims to understand about the population.