1317 Int. J. Morphol., 38(5):1317-1324, 2020. Statistical Testing Methods for Data Analysis in Dental Morphology Pruebas Estadísticas para el Análisis de Datos en Morfología Dental Pablo Navarro 1 ; Imaculada Alemán 2 ; Catalina Sandoval 4,5 ; Camila Matamala 3 & Gilda Corsini 6 NAVARRO, P.; ALEMÁN, I.; SANDOVAL, C.; MATAMALA, C. & CORSINI, G. Statistical testing methods for data analysis in dental morphology. Int. J. Morphol., 38(5):1317-1324, 2020. SUMMARY: Statistical testing methods are essential tools to measure and analyze the data obtained through research in dental morphology. This descriptive study analyzes the different statistical testing methods in order to suggest its appropriate use and manage in the interpretation and analysis of quantitative and/or qualitative data of dentistry investigations. The knowledge obtained through this study could orient students and/or interested professionals to decide, with theoretical basis, which one to use in the development of their research. KEY WORDS: Data analysis; Statistics; Methods. INTRODUCTION In daily practice, professionals know that their work is not based on the use of statistics, mainly because they are accustomed to working with people in a one-on-one setting, as opposed to with a collection of individuals. This circumstance risks limiting these professionals from developing research in their area. It is important to highlight that researchers, having some notion of statistical procedures, can understand and manage data variability which is often produced by "uncertainty" and "uncertainties" which are often health problem consequences. Statistics are important in part because they support academic research at different levels and subsequently generate rigorous knowledge for the benefit of society. Currently, there is a growing interest in statistical knowledge because many authors are convinced that statistics must be understood through inductive and deductive reasoning. Statistical education is not based solely on formulas and figures, but also interpretation of data so that decisions can be applied correctly. The nature of the present study is qualitative descriptive, wherein variable relationships with respecti- ve statistical procedures were analyzed and described based on narrative context. Results are generally relevant and applicative, since the research informed about statistical procedures proposed in dental morphology, to support the professional improvement of researchers in biostatistics. Statistics is a branch of science that deals with the collection, organisation, analysis of data and drawing of inferences from the samples to the whole population. This requires a proper design of the study, an appropriate selection of the study simple and choice of a suitable statistical test. An adequate knowledge of statistics is necessary for proper designing of an epidemiological study or a clinical trial. Improper statistical methods may result in erroneous conclusions which may lead to unethical practice (Ali & Bhaskar, 2016). Statistical procedure corresponds to these steps: a) Data collection. b) Statistical data analysis. c) Presentation. 1 Center for Research in Odontological Sciences (CICO). Department of Adult Dentistry, Dentistry Faculty. Universidad de La Frontera. Temuco, Chile. 2 Laboratory of Antropology, Departament of Legal Medicina, Toxicology and Physical Antropology, School of Medicine, University of Granada, Granada, España. 3 Universidad Autónoma de Chile, Chile. 4 Department of Orthodontics, Dentistry Faculty, Universidad de La Frontera, Temuco, Chile. 5 BioMAT´X Laboratory, Dentistry Faculty. Universidad de los Andes, Santiago, Chile. 6 Center for Research and Innovation in Clinical Dentistry (CIDIC). Department of Adult Dentistry, Dentistry Faculty. Universidad de La Frontera. Temuco, Chile.