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This analysis can be quite straightforward – for example you can group data into categories and compare percentages and counts in a spreadsheet.
Fisher's Exact test of significance (2-sided) was used to compare percentages between respondents with bipolar I disorder and bipolar spectrum disorder.
To compare percentages of on-duty time spent performing physically demanding soldier tasks in non-deployed and deployed settings, and secondarily examine the number of physically demanding tasks performed among five Army combat arms occupational specialties.
Student's t test was used to compare percentages and absolute numbers of IFNγ-producing cells in different lymphocyte subsets.
An Exact Unconditional z-pooled test, which is argued to be more powerful for comparing two populations than the standard unconditional tests (Berger, 1996), was used to compare percentages.
Two way ANOVA followed by Bonferroni's post test was used to compare different treatments, Kruscall-Wallis test followed by Dunn's multiple comparison test or Mann-Whitney test were employed to compare percentages of immunoreactive cells in the different treatments.
Similar(15)
To compare percentage non-caeruloplasmin bound copper (%NCC) to generally accepted values.
To compare percentage between two groups we used χ2 test.
Pearson χ test was used to compare percentage of positive MMP expression.
Fisher's exact test will be utilised to compare percentage of specific complications between study groups.
Chi-square test was applied to compare percentage of males between ethnic groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com