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Comparison of means between the two groups was performed by the Student's t-test.
Table 2 Comparison of means between hospital types Descriptive statistics What type of hospital N Minimum Maximum Mean Std.
In experiments 1 and 2, the benefits robustly emerged in a comparison of means between the exercise and non-exercise conditions.
The statistical analysis were divided into the following steps, according to the parameters for evidence of validity (AERA, APA, & NCME, 1999): (i) To investigate validity evidences for TLN-C in its relations with external criteria, comparison of means between ages was done using analysis of covariance (Ancova), in which age was the factor and intellectual quotient (WISC-III) was the covariant.
Comparison of means between groups was conducted using ANOVA.
Comparison of means between two groups was undertaken using unpaired two-tailed Student's t-tests.
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Within-subjects comparisons of means between modes demonstrated measurement equivalence for both measures.
Multiple comparisons of means between groups and treatments at 95% confidence level (Tuckey test) are presented by letters.
For models with statistically significant differences among visits, post hoc tests using Bonferroni-adjusted P-values were conducted to examine pairwise comparisons of means between visits.
The comparisons of means between two groups (e.g., formulated versus unformulated RC-101) were conducted using the two-sample t-test with unequal variances.
Determining whether R = 0.660 is significantly greater than R = 0.636 is a matter of performing a 2 population t-test for the comparisons of means between the 10-fold cross validation estimates of the model R.
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