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In this study, many behaviours have been tested for statistical significance, which increases the risk of false positives due to chance.
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The selected allometric equations were tested for statistical significance using the R Statistic Program (Additional file 1: 1).
Results across groups were tested for statistical significance using the Chi2 Test.
Differences of means between groups were tested for statistical significance with Student t test, and a P value < 0.05 was considered statistically significant.
When fitting data, a single scaling factor is applied to each event, and the magnitude of the event (or scaling factor) can be tested for statistical significance.
Results were tested for statistical significance using the single-tailed paired T test.
Pre- and post-treatment differences were tested for statistical significance using paired t test.
Additionally, elasticity estimates from logit regressions can easily be tested for statistical differences.
Differences between subgroup impacts were tested for statistical significance and are indicated as follows: +++ = 1 %; ++ = 5%%; + = 10%%.
Similarly, the differences between median post-test scores were tested for statistical significance through Mann-Whitney U test.
The differences among means were tested for statistical significance by one-way analysis of variance and independent sample T test.
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