Construction of explanatory bivariate tables involves:
A)dividing cases into the appropriate subgroups, describing each subgroup in terms of a given variable, and comparing those descriptions across subgroups.
B)dividing, describing, and comparing subgroups on independent and dependent variables.
C)analyzing the simultaneous relationships among several variables among subgroups.
D)dividing, describing, and comparing univariate independent variables on subgroups.
E)analyzing the simultaneous relationships among several variables.

Question

Quizplus · Accepted Answer

Explanatory bivariate tables involve dividing cases into subgroups, describing each subgroup in terms of a given variable, and then comparing those descriptions across subgroups. This is typically done to explore the relationship between two variables in a dataset. Option A accurately describes the process of constructing explanatory bivariate tables. Option B is incorrect because the terms "independent" and "dependent" are not always applicable in bivariate tables. Option C and E describe more complex statistical analyses that go beyond bivariate tables. Option D only refers to describing independent variables, while bivariate tables involve comparing two variables.

Construction of Explanatory Bivariate Tables Involves