Abstract:

The objective of this practical experience is to provide students with the concepts and tools that facilitate for statistical learning, in the clearest and most accurate way possible. For this reason, we present a statistical research about the presence of pain in the field of the hotel and catering industry. It is a topic of interest for students, since they tend to work in the hostelry to pay for their studies.

The methodology used for statistical learning is based on the design visual presentations of research results to improve the textual reporting of such findings. Graphics and tables of various styles are used to report on research results. The tables and figures are self-explanatory, so their design includes all the information necessary for the student to understand the findings that we intend to show and although the visual assists clarify the text, they cannot replace it. The textual report of the findings remains of paramount importance.

In order to obtain the results, data collection is carried out using a questionnaire with multiple responses, taking into account the analysis of both quantitative and qualitative variables and the selection of an appropriate statistical test. The software used for the statistical analysis of this practical experience is the Statistical Package for the Social Sciences (SPSS). The conceptual and experimental understanding is developed and analyzed for students with the PowerPoint program.

Finally, we conclude that the presence of pain in the field of the hotel and catering industry shows variability according to the position occupied by the worker in the company. It was found that the presence of pain increase with years of work in this sector and the prevalence of pain in hostelry can lead to periods of low work. In addition, sex and age do not influence the presence of pain.

So, we have fostered the curiosity of student's for the applicable statistical methods and this practical experience has improved student’s participation and increased academic achievement.

Keywords:

Innovation, Statistical package, Applied science.