The Bayesians nets in the study of free time: determination of social-demographic profile of the Cuban population

Abstract

The current study attempts to describe the free time of City of Havana (Cuba) population older than 15 years, distinguishing between word days, weekends and vacation and holiday periods, determining the population's socio-demographic profile. The object population of study numbers over 1,720,445 people (2003), the selected sample is 1,144 individuals. The assumed sample error is ±3% with a confidence level of 95.5%. The technical quantitative analysis of data has been done using the SPSS/PC+ (V 14.0) computer program, which presents descriptive analyses of the different proposed variables, and using the program Elvira for the production of the Bayesian networks. Note in the results, that the availability of free time in work days are normal, increasing some in weekends and, is quite higher in vacation and holiday periods. The age and main activity are shown to be discriminating factors, being elders those with have more free time, and those with higher pro-fession who have less time.