The article explores how to make quick and accurate statistical decisions with online data. It focuses on analyzing the properties of stopping times and estimators for a specific type of mathematical model. The researchers found that the sequential least square estimator and stopping times show joint normal behavior. However, when estimating a certain parameter, the joint distribution changes, and the stopping time's variance becomes smaller.