Sentence examples for contingency table for from inspiring English sources

Exact(47)

Using a 6 × 3 contingency table for Two-way analysis of variance (ANOVA) in design without repeated values, and the effect of the starch polymer concentrations on metronidazole dissolution was analyzed.

B) Contingency table for the comparison between the declaration of gene essentiality in silico vs. in vitro for those siRNAs in the library that had consensus effect in terms of cell number reduction in ≥70% of the cell lines.

B) Contingency table for comparison between the declaration of gene essentiality in silico vs. in vitro for those siRNAs in the library that had consensus effect in terms of cell number reduction in ≥ 70% of the cell lines.

As the contingency table for the statistical analysis was 6x4, other association statistics were needed, as pointed by Rodríguez and Mora (2001), in order to re-enforce results.

Table 7 A contingency table for the inter-annotator agreement, excluding self-agreement   Leave Neutral Remain Total Leave 1174 11741174 Neutral 646 1607 – 2253 Remain 273 975 2132 3380 Total 2093 2582 2582 6807.

Table 8 A contingency table for the annotators' self-agreement   Leave Neutral Remain Total Leave 472 – – 472 Neutral 92 692 – 784 Remain 61 162 837 1060 Total 625 854 837 231625

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All data were analysed by descriptive statistics and by contingency tables for discrete traits.

MEASUREMENTS: Chi-square contingency tables for dichotomous variables, Cochran-Mantel-Haenszel for ordered categorical variables, and t tests for associations with continuous variables.

Data from each question were organized in 3 × 5 contingency tables, for example, Gen Fac, Edu, Stu × a e (Chi-square tests, null hypotheses rejected at P ≤ 0.05).

The numbers of mapped reads on a given transcript and those on other regions for two stages were used as variables in 2 × 2 contingency tables for each test.

Data from the biology major versus nonmajor comparisons were organized in 2 × 5 contingency tables, for example, RWU biology majors, RWU nonmajors × A, B, C, D, E (Chi-square tests, null hypotheses rejected at P ≤ 0.05).

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