contingency table

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contingency table

[kən′tin·jən·sē ‚tā·bəl]
(statistics)
A table for classifying elements of a population according to two variables, the rows corresponding to one variable and the columns to the other.

contingency table

see CROSS-TABULATION.
References in periodicals archive ?
1998, Odds Ratios in the Analysis of Contingency Tables, Sage University Paper 119, London.
A crosstabulation analysis was used with a 2 x 2 contingency table, which allowed for one degree of freedom.
6 Note: The subpartitioning of the contingency table into four 2 x 2 tables reveals that there is a significant difference between the pooled time period 1967-1989 and the last time period 1990-2000 and the medical and psychological theories.
Mosteller F: Association and estimation in contingency tables.
10) Employing contingency tables and chi-squared statistics, we test for dependence between the strength of the recommendations and the type of environment out of which the recommendations are generated.
Topics such as the contingency table, cointegration analysis, and ECM bring the book up to date in several areas.
Screening effects in multidimensional contingency tables, Applied Statistics 25: 37-46.
The contingency table to examine the relationship between lead levels and age of building (Table 1) indicates that these factors are not independent since Chi-square observed ([chi square]o) = 42.
Order-restricted score parameters in association models for contingency tables.
They give researchers and students steps to take when preparing to calculate sample sizes, ways of comparing designs and samples of those designs, exact tests for proportions, methods for testing goodness-of-fit and contingency tables, comparisons of time-to-event data and variables, and procedures for sequential methods, bioequivalence testing, dose response studies, microarray studies, Bayesian sample size calculation and nonparametrics.
Two distinct approaches (analytical tests based on contingency tables and numerical tests based on comparing observed model misfit or deviance to estimates of misfit derived from simulations) have been used to determine whether open population models fit the data.
StatXact makes no assumptions; data sets can be small or large, balanced or unbalanced, sparse or dense, or in the form of contingency tables with small and zero cell counts.

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