New method predicts unknown values with high accuracy and confidence.
Confidence intervals are ranges of possible values for an unknown number, based on data collected from a sample. These intervals help researchers estimate the true value of a parameter with a certain level of confidence. The article discusses how to calculate confidence intervals for different population characteristics like proportions and means. It also explains a method called bootstrap for estimating confidence intervals. Additionally, the article covers how to calculate confidence intervals for the difference between two proportions and for the relative risk.