THE BIVARIATE ANALYSIS BETWEEN THE VARIABLES THAT DEFINE THE INVESTIGATED TOURIST POPULATION IN THE CENTER DEVELOPMENT REGION AND THE OTHER IMPORTANT TOURIST VARIABLES

Assist. Ph.D Kulcsár Erika
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Assist. Ph.D Kulcsár Erika: University “Babes-Bolyai”, Faculty of Economics and Business Administrations, Cluj Napoca, Romania

Revista Tinerilor Economisti (The Young Economists Journal), 2010, vol. 1, issue 14, 110-117

Abstract: In the marketing research the instances when we need to examine the relationship between two variables are frequent. Knowing the relationship between the two variables involves the use of tests that can be parametric and nonparametric. This paper includes the non-parametric tests used in the bivariate analysis. The used tests are: chi square test, the Mann-Whitney test, the Kolmogorov-Smirnov test. Besides these tests, this paper also includes measuring the association between nominal variables using the C contingency coefficient and Cramer's V coefficient and between two metric variables, using the Pearson’s linear correlation coefficient.

Keywords: variables; Chi square test; U test; Kolmogorov-Smirnov test; Cramer's V contingency coefficient; Pearson's linear correlation coefficient (search for similar items in EconPapers)
JEL-codes: L83 M31 (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:aio:rteyej:v:1:y:2010:i:14:p:110-117

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