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bivariate statistic

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bivariate statistic
a numerical value which indicates the relationship between two individual variables, e.g. correlation between fiber intake and butterfat content of milk.


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Bivariate statistics, including Pearson [chi square] and t tests, were calculated to provide information regarding gender differences in demographic and social characteristics, perception of local services, and HIV/AIDS resource knowledge.
Univariate and bivariate statistics were used to describe the sample and to provide descriptions of professionals' perceptions of their frustration, while multiple regression analysis was used to assess the relationship between the independent variables of participants' assessment of organizational factors in their work setting and the dependent variable of the assessment of their work frustration.
Bivariate statistics were calculated using a combination of t-tests, Spearman r, and Pearson r statistics.
 
 
 
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