Use of a technological resource to improve understanding of the confidence interval in frequentist inference

Abstract

In the study of statistical inference, it is common to determine a single confidence interval per case study and mechanically. This makes it difficult to gain a deep understanding of this mathematical object. This work presents the analysis of a technological resource that can enrich the educational panorama of the confidence interval from a frequentist perspective, since it offers in a very visual way a dynamic simulation of intervals generated continuously with repeated samples taken from a population. This can be an important support in teaching the confidence interval, helping students to better understand its meaning and reflect on the relationships between the various parameters that comprise it.