“…We conceive, by hypothesis testing, the procedure that allows verifying an assertion regarding the value of a population parameter from data obtained in a sample. In addition, in recent years in statistical education, specialists have reported teaching and research experiences on statistical reasoning for inference; for example, studying levels of statistical reasoning on hypothesis tests with mathematics students (Inzunza & Jiménez, 2013) and the impact of learning environments with the use of technologies (Cañadas et al, 2012(Cañadas et al, , 2019. Other investigations refer to the incorrect use of statistical hypothesis tests, erroneous interpretations of the results, confusion between null and alternative hypotheses (Vallecillos, 1999), student confusion between statistical and research hypotheses (Chow, 1996), conflict in the logic of the process of Fisher's significance tests and Neyman-Pearson's hypothesis testing (Vallecillos, 1999), confusion between bilateral and unilateral tests, and the regions of acceptance and rejection (Vera, 2017), difficulties in understanding the…”