Moreover, the random rotation group generally moved faster, and movement durations were accordingly reduced in this group (p < 0.001, Wilcoxon rank-sum test on mean duration).
This difference is more pronounced in the cumulative error (p < 0.01, Wilcoxon rank-sum test on mean error over the first ten trials; Figure 2F) assessing feed-forward and feedback control.
Compared to the controls, the random rotation group showed significant (p < 0.01, Wilcoxon rank-sum test on mean error over the first ten trials) facilitation of feed-forward learning in the +60° rotation block.
Wilcoxon signed rank test on mean detection p-values revealed significantly higher quality data were obtained from buffy coat DNA than from dried blood spot DNA (p-value = 0.03).
Again, we see a trend in the initial learning of the second +60° rotation block showing that feed-forward learning in the random rotation group was facilitated compared to that in the naive group (p < 0.02, Wilcoxon rank-sum test on mean error over the first ten trials).
IQR - Inter-quartile range, SE-Standard error, Ŧ Test statistic - χ2 test or t-test on means Fifteen percent (145/954) of the 2002-2006 cohort developed hypoglycaemia (< = 3 mmols/l) post admission as did 15% (42/283) of the 2006-2009 cORort OR = 0.97, 95% confidence interval [0.67-1.41]; P = 0.88.
Tests on ranked data -- Ch. 17. Tests on means of continuous data -- Ch. 18. Multifactor tests on means of continuous data -- Ch. 19.
In meta-analysis often performed to draw standardized information about effect sizes from heterogeneous data sets, the effect sizes are being quantified by calculating Cohen's d [15] as a widely used standardized effect size measure appropriate to use in the context of a t-test on means.
When a population growth rate of 1 × 10−3, and mutation rate heterogeneity described by a gamma distribution with α equal to 0.2, were incorporated into simulations, detection rates were significantly lower (P < 8.18 × 10−3, paired Student's t-test on means for all tests at each value of ρ, see Figure 2).
Using JMP, we performed statistical analyses (χ, Van de Waerden's, Wald's and Student's t-tests) on means and distributions to test various hypotheses (see below).
