The goal of the following article is to introduce a new work sampling estimation procedure along with a usage example, as well as to contrast these with the previous procedure. The new procedure enables the gradual estimation of portions of procedure types without iteration loops. In addition, it also delivers precise estimated values and can consistently process a priori information in small random samples. Furthermore, through visualization, additional decision support about the so-called probability density functions is made available for the industrial engineer in the business.
