THE BIVARIATE ANALYSIS BETWEEN THE VARIABLES THAT DEFINE THE INVESTIGATED
TOURIST POPULATION IN THE CENTER DEVELOPMENT REGION AND THE OTHER IMPORTANT
THE BIVARIATE ANALYSIS BETWEEN THE VARIABLES THAT DEFINE THE INVESTIGATED
TOURIST POPULATION IN THE CENTER DEVELOPMENT REGION AND THE OTHER IMPORTANT
Author(s): Erika KulcsárSubject(s): Economy
Published by: Editura Universitaria Craiova
Keywords: variables, 2 test; U test; Kolmogorov-Smirnov test; Cramer's V contingency coefficient; Pearson's linear correlation coefficient,.
Summary/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.
Journal: Revista tinerilor economişti
- Issue Year: 2010
- Issue No: 14
- Page Range: 110-117
- Page Count: 8
- Language: English