A confidence interval is a mathematical concept that expresses how likely a range will contain the mean of a data set.

Koon-Shing Kwong, On Sample Size and Quick Simultaneous Confidence Interval Estimations for Multinomial Proportions, Journal of Computational and Graphical Statistics, Vol. 7, No. 2 (Jun., 1998), pp.

Although it is well known that modern methods of computing confidence intervals (CIs) based on likelihood or simulation have important advantages, normal approximation confidence interval procedures ...

They concluded that bootstrap confidence intervals work as well as Bayesian intervals concerning average coverage probability. Additionally, bootstrap confidence intervals appear to be better for ...

The confidence interval in this example is 95 percent, and the likelihood that the actual amount of plastic used is outside the estimated range is 5 percent.

In this example, the capability index C pk is computed for the amplification data in AMPS. To examine the accuracy of this estimate, the following statements calculate a 90% confidence interval for C ...

Statisticians and other analysts use confidence intervals to understand whether their sample estimations, inferences, or predictions match the actual populations. If a confidence interval contains ...