The Q-Q plot is a graphical tool for assessing the goodness-of-fit of observed data to a theoretical distribution in which every single observation in the data is represented by a symbol.In many occasions, due to either natural variations of the data or to a large sample size, the Q-Q plot could be interpreted as a sign of failure of the proposed model.One alternative is to consider a special set of characteristics of the data such as the sample quantiles that, jointly with its theoretical counterparts, allow the user to effectively compare both.We propose and illustrate a modified Q-Q plot that helps to visualise the differences between the observed quantiles and their corresponding theoretical values, and overcome some technical problems of the traditional Q-Q plot. Palabras clave:
