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The BSS algorithm described above was applied to each tested proportion of SNPs (see Table 2).
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We used the Chi-squared test to compare the difference between the observed and the expected number of the mutant mice from crosses and Fisher's exact tests to test proportions of genotypes.
Indeed a significantly higher (p < 0.0001, chi-square test) proportion of target sites were found to be specific to cattle (60%) for cattle-specific miRNAs compared to that (49%) for non-cattle-specific miRNAs (Table 3).
The observed proportions of the ≤ 5-degree differences were tested against proportion of 0.95 for statistical significance by one sample binomial tests.
Two response variables were tested: the proportion of total tree cover on all soil types, and the proportion of tree cover on fertile soils most suitable for agriculture.
Within the subset of wells that were tested, the proportion of unsafe wells changed over time.
Marginal homogeneity by McNemars test, a test which determines the equality between positive and negative test proportions of one test compared to the other, indicated that there is a balance between BBA-TOX and E-TOX3.
The sample size calculation was based on the 'proportion test', i.e. testing the proportion of dentists who consider a DwSI service useful for patients.
The positive predictive value of the test (the proportion of positive tests that truly detect a disease) is likely to be 10percentt or worse.
Focusing on the data for the overprescribed tests, the proportion of abnormal tests, compared to reference range, varied (Table 2).
We operationalized test difficulty as the average facility index of the items of the test – the proportion of students that sat the test that answered the question correctly.
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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