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A rule-based pattern-recognition analysis of the day-of-the-week effect could begin, for example, by counting the number of instances where the rule is matched and compare it to the expected number of instances based on randomness.3.
The expected number of instances with a probability of 0.001 is 1.896 (2.772).
Now we introduce E 12 (R n ) = N 12 (R n ) ∙ f 12 ∙ (b 12 (R n )/ b 12 ) as the expected number of instances of R n following from the null model.
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From these 100 instances, we calculated the average expected number of repeats, as well as the distribution around this average, for every combination of nucleotide and length.
When talking about "difficult" instances we will refer to ones in which the expected number of randomly found motifs is high.
Expected number of failures.
expected number of crashes.
Data represent expected number of cases (prevalence).
4 Expected The number of instances an HRQoL response category was expected.
The null model of bearing randomization predicted an expected mean number of 42.77 31 599) instances of bats foraging together in space and time.
b Expected: The number of expected cases in a cluster.
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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