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SELECT ALL THAT APPLY. -In a bivariate table,


A) it displays the distribution of one variable across the categories of another.
B) it identifies its content in terms of the two variables.
C) the intersection of a row and a column is called a marginal.
D) it has two dimensions,one for the dependent and the other for the independent variable.

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When examining the percentage differences in a bivariate table,the larger the percentage difference,the ______ the relationship between two variables.


A) stronger
B) weaker
C) more positive
D) more negative

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A statistical interaction between the control variable and the independent is also called a ______ relationship.


A) causal
B) intervening
C) spurious
D) conditional

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A bivariate table in which the column variable has three categories and the row variable has four categories would be designated as a 3×4 table.

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Identify the independent,dependent,and control variables in the following table. Identify the independent,dependent,and control variables in the following table.

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Independent variable is religi...

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Allowing the researcher to test for nonspuriousness and specifying the different conditions under which the original bivariate relationship might hold,are two advantages of


A) elaboration.
B) dependence.
C) control variables.
D) percentage.

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Briefly describe the difference between a spurious and intervening relationship.

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When a relationship is spurious,there is...

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Cross-tabulation is a technique for analyzing the relationship between two variables that have been organized in a table.

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A relationship is said to exist between two variables in a bivariate table if the percentage distribution varies across the different categories of the independent variable.

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SELECT ALL THAT APPLY. -Regarding the strength of the relationship in a bivariate table,


A) it is a quick method to determine by examining the difference in frequencies across the different categories of the independent variable.
B) the larger the percentage difference,the stronger the association.
C) percentage differences are a rough indicator to determine it.
D) a 0% difference between the columns indicates a perfect relationship.

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