ISSN 2284-7995, ISSN Online 2285-3952
 

STATISTICAL ANALYSIS MODEL FOR IDENTIFYING THE DYNAMICS OF HOTEL TOURISM

Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 23 ISSUE 3
Written by Elena COFAS , Florin Cristian CIOBĂNICĂ

Data analysis is a process of inspecting, transforming, cleaning, and modeling information with the purpose of uncovering useful insights, providing conclusions, and supporting decisions. The results obtained from processing statistical data are presented as specific statistical models (series, graphs, tables), and the relationships for observed phenomena emerge in a sequence that corresponds to the existing relationships. These make it possible to interpret patterns, enabling the correct selection of methodologies for calculating statistical indicators. Statistical data in tourism provide the opportunity for the development of strategies within this sector, where evaluated indicators serve as a source for monitoring and refining situations in tourism. The assessed information allows for analyses across various periods, integrating tourism into the national statistical system. The purpose of this study is to present an analytical model through a phased realization of statistical analysis regarding tourist arrivals in hotel-type accommodation establishments. Essentially, this analysis includes: the statistical study of frequency distributions through the calculation of variation and asymmetry indicators, the statistical study of frequency distributions through the calculation of central tendency indicators, and the establishment of statistical relationships between the two characteristics – the number of hotels and the number of tourists arriving in hotels.

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COFAS E., CIOBANICA F.C. 2023, STATISTICAL ANALYSIS MODEL FOR IDENTIFYING THE DYNAMICS OF HOTEL TOURISM. Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 23 ISSUE 3, PRINT ISSN 2284-7995, 175-184.

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© 2019 To be cited: Scientific Papers. Series “Management, Economic Engineering in Agriculture and Rural Development“.

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