New Methods for Estimating Population Proportions in Minitab

This document is a guide detailing four new methods for estimating a single population proportion using Minitab. It addresses a common statistical problem where individuals seek to estimate the proportion of a specific characteristic within a population. The guide critiques traditional methods such as the Wald confidence interval and Clopper-Pearson exact confidence interval, highlighting their limitations. It introduces the adjusted Blaker method, Wilson/score method, Wilson/score with continuity correction, and the Agresti-Coull method as improved alternatives. Each method is explained in terms of its derivation, properties, and computational requirements. The guide emphasizes the importance of using these updated methods for accurate estimation and provides illustrative examples to demonstrate their application in real-world scenarios. The document serves as a comprehensive resource for statisticians and quality engineers looking to enhance their estimation techniques in practical applications.