The research protocol VI: How to choose the appropriate statistical test. Inferential statistics

• Main Authors: Eric Flores-Ruiz, María Guadalupe Miranda-Novales, Miguel Ángel Villasís-Keever
• Format: Article
• Language: Spanish
• Published: Colegio Mexicano de Inmunología Clínica y Alergia, A.C. 2017-10-01
• Series: Revista Alergia México
• Subjects: Prueba estadística; Estadística paramétrica; Estadística no paramétrica; Análisis estadístico
• Online Access: http://revistaalergia.mx/ojs/index.php/ram/article/view/304

The statistical analysis can be divided in two main components: descriptive analysis and inferential analysis. An inference is to elaborate conclusions from the tests performed with the data obtained from a sample of a population. Statistical tests are used in order to establish the probability that a conclusion obtained from a sample is applicable to the population from which it was obtained. However, choosing the appropriate statistical test in general poses a challenge for novice researchers. To choose the statistical test it is necessary to take into account three aspects: the research design, the number of measurements and the scale of measurement of the variables. Statistical tests are divided into two sets, parametric and nonparametric. Parametric tests can only be used if the data show a normal distribution. Choosing the right statistical test will make it easier for readers to understand and apply the results.