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Student's t-test was used to analyze the difference of means for different parameters.
One-way ANOVA analysis and least significant difference (LSD) test were employed to determine the difference of means among different groups.
Effect size was calculated for ANOVA with difference of means of the total score (DOMTS).
*Different letters on the bars indicate significant difference of means at α = 0.01 by t-test.
Again, these differences are statistically significant under a one-side T test of difference of means.
**Different capital letters in the same variety (for horizontal comparison) indicate significant difference of means at α = 0.05 by DMRT.
These differences in the size distribution between countries of low and high TFP are statistically significant under a one-side T test of difference of means.
For the length of ICU stay, and the difference in costs of the total hospitalization per patient, results were expressed as difference of means and 95% CIs.
*Different small letters in a same date (for vertical comparison) indicate significant difference of means at α = 0.05 by Duncan's Multiple Range Test.
This interval is defined by the equivalence threshold θ, such that when the difference of means of the two sets is within, the two sets are considered equivalent.
**Different capital letters in a same variety (for horizontal comparison) indicate significant difference of means at α = 0.05 by Duncan's Multiple Range Test.
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