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The null hypothesis in this setting models the normal behavior, while the alternative hypothesis models the abnormal or anomalous behavior.
To test our hypothesis, models were built as concrete blocks into which shells were placed horizontally, vertically, and widely spaced, and vertically and closely spaced.
According to the eye-mimicry hypothesis, models bearing shape-symmetric patterns should suffer fewer attacks.
According to the conspicuousness hypothesis, models with eyespots (irrespective of the number) should suffer fewer attacks, and higher attack latency, compared to the model without eyespots.
A likelihood ratio test (LRT) was used to compare various hypothesis models in which ω values are expected to differ among branches, in comparison to a null hypothesis in which all the branches have similar ω.
Although this would be the case if all the models licensed feedback from language to thought, the Lexical Hypothesis models posit one-directional processing so, in the case of fluent speech, there is no online interaction between language and conceptualisation.
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Fig. 2 Study hypothesis model.
The notation BF01 is used to express the probability of the data given the null hypothesis (model 0) relative to the alternative hypothesis (model 1).
In the last stage, these PDFs are fed into a classifier to build a hypothesis model.
This is in agreement with our proposed hypothesis model, see Fig. 4c.
This model, however, can hardly be considered as an improvement of the null hypothesis model for any practical application.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com