Confidence Interval

The conceptual origins are found in statistical inference, which began in the 18th century with the work of Thomas Bayes and Pierre-Simon Laplace. The term itself was likely first used in the early 20th century by the statistician and geneticist R. A. Fisher. The use of confidence intervals has become an important tool in statistical inference, allowing researchers to express the uncertainty or variability of sample statistics and to draw conclusions about population parameters with a certain degree of confidence. Confidence intervals are widely used in fields such as epidemiology, psychology, and social sciences, as well as in business and engineering.