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Statistical comparisons were made by analysis of variance using ranks followed by Dunn multiple contrast hypothesis tests or by the Mann-Whitney U test (two-tailed).
Statistical comparisons were made by ANOVA using ranks (Kruskal-Wallis test), followed by Dunn's multiple contrast hypothesis test to identify differences when various treatments were compared to the same control or by the Mann-Whitney test for unpaired observations.
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Application of hypothesis testing procedures (nonparametric multiple contrast test) allowed us to estimate LOECs (Table 2), and these were 4.0 × 10−4 nM, 0.55 nM, and 410 nM for estriol, coumesterol, and β-endosulfan, respectively.
The fitted model amod is then given to the function glht which sets up the hypotheses to be tested (i.e. the multiple contrasts of means).
Several contrast hypotheses were set up.
Visual comparison between multiple contrasts was generated.
We tested the reward-contrast hypothesis using baiting configurations designed to produce reward-contrast.
FDR is a method for correcting for multiple hypotheses in statistical hypothesis testing.
Nevertheless, two contrasting hypotheses can be formulated.
In both systems different, often contrasting hypotheses were made.
The statistical significance was set at 0.05 when contrasting hypotheses.
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