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Statistical differences between two data groups were analysed using the paired non-parametric Wilcoxon test.
All t-tests were preceded by F-tests to test for equal variance between two data groups concerned.
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Significant differences between the three data groups are found (p = 0.0064) indicating that the agreement between the measurement methods strongly depends on subject specifics.
Paired Student's t test was used to analyse the differences in the same group between two data points.
Fisher's exact test was used to assess whether association between two categorical data groups was non-random.
For the comparison between two groups data were analyzed using standard two-tailed unpaired t-test's.
The physiological data were not different between three groups (data not shown).
Students' t test was used to test for differences between two groups of data as needed.
Student t-test was used for the comparison between two groups of data.
Statistical significance was evaluated by Student's t test (two tailed) comparison between two groups of data.
Statistical significance was determined by Student's t test (two tailed) comparison between two groups of data sets.
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