Hypothesis testing versus confidence intervals

Abstract

The p values, generally 0.05 or 0.01, that in the statistical hypothesis test are used to distinguish the significant and non-significant statistical results, it is considered of few information and few practical value, when the biomedical researcher and epidemiologist are interesting in knowing the magnitude of a result of study. This communication shows the advantage of the intervals to compare the hypothesis test with the interview confidence for inferring the difference between two sample proportions.