Descriptive statistics and graphs tutorial to help you succeed in data analysis

  1. Ibáñez-López, Francisco Javier 1
  2. Rubio-Aparicio , María 1
  3. Pedreño Plana, Marina 1
  4. Sánchez-Martín, Micaela 2
  1. 1 Universidad de Murcia, Murcia, España
  2. 2 Universidad de Murcia
    info

    Universidad de Murcia

    Murcia, España

    ROR https://ror.org/03p3aeb86

Revista:
Espiral. Cuadernos del profesorado

ISSN: 1988-7701

Año de publicación: 2024

Título del ejemplar: September 2024

Volumen: 17

Número: 36

Páginas: 88-99

Tipo: Artículo

DOI: 10.25115/ECP.V17I36.9570 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Espiral. Cuadernos del profesorado

Resumen

The previous step to be able to carry out a complete and reliable inferential statistical analysis of the data collected in a research is the execution of a correct and exhaustive descriptive statistical analysis. At this stage, we understand the main characteristics of our sample, which allows us to address the complete description of the sample in our research work and, in addition, offers us a first approximation of the variables in which there could be differences depending on others. It is only an approximation. Subsequently, a statistical inferential test will have to say whether statistically speaking they exist or not. This paper presents the main descriptive statistics and their corresponding graphs depending on the type of variable, as well as their calculation and representation using the free statistical software jamovi, a powerful free tool that does not require advanced programming knowledge.

Referencias bibliográficas

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Fuente de los datos: Dialnet