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Statistical differences among the prospective groups and their counterparts were analyzed using one-way analysis of variance (ANOVA) as part of an SPSS software package (v.16.0 for Windows, 2007; SPSS, Inc., Chicago, IL) by a post hoc test followed by Dunnett's for several comparison tests to compare treated groups against respective controls.
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In several comparisons and blind tests COSMO-RS predictions for free energies and enthalpies of molecules in solution have been shown to be more accurate than those of most other methods in used in computational chemistry.
ANOVA (or Kruskal Wallis as non-parametric test) was performed when several comparisons were necessary and Dunnett's multiple comparison tests (or Dunn's multiple comparison test) were applied to test differences between pairs of treatments.
Several comparison analyses were performed using Pearson's chi-square test.
It purported to show favorable results from numerous comparison tests.
Several interactions for all force levels tests lost their significant difference or showed a variable significant difference depending on the number of comparison tests.
Multiple comparison tests were used.
To evaluate whether the synthetic mixture composed of both major and minor compounds identified from leaf volatiles affected C. herbacea behavior, insect preference was determined by performing choice tests with several comparisons.
However, since several comparisons were made, the multiple testing problem cannot be entirely dismissed.
Several comparisons were made to evaluate the test results.
Tukey's multiple comparison test is one of several tests that can be used to determine which means among a set of means differ from the rest.
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