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| A table that displays the joint frequency distributions of two variables. |
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| The cross-classification categories of the variables in a bivariate table. |
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| The score on the sampling distribution of all possible sample chi squaresthat marks the beginning of the critical region. |
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| The test statistic as computed from sample results. |
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| A nonparametric test of hypothesis for variables that have been organized into a bivariate table. |
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| The vertical dimension of a bivariate table. By convention, each column represents a score on the independent variable. |
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| The cell frequencies that would be expected in a bivariate table if the variables were independent. |
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| An additional use for chi square that tests the significance of the distribution of a single variable. |
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| The null hypothesis in the chi square test. Two variables are independent if, for all cases, the classification of a case on one variable has no effect on the probability that the case will be classified in any particular category of the second variable. |
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| The row and column subtotals in a bivariate table. |
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| A "distribution-free" test. These tests do not assume a normal sampling distribution. |
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| The cell frequencies actually observed in a bivariate table. |
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