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A third, overarching aim was to investigate the distribution of change scores between repeat assessments of a non-normally distributed variable.
The objectives of this study were: a) to compare the relative power of Mann-Whitney and ANCOVA; b) to determine whether ANCOVA provides an unbiased estimate for the difference between groups; c) to investigate the distribution of change scores between repeat assessments of a non-normally distributed variable.
It was assumed to be a log-normal distribution fitted to the empirical distribution of change in exposure between given time point and 2011 within all NUTS 3 regions.
Fig. 5 Distribution of change in a temperature and b pressure 1 year after conduit obstruction (Run 4, Mʹ = 1000 kg s−1, kʹPCB = 1.0 × 10−13 m2).
We provide the definition and distribution of change in these biomarkers over time.Seventy-three percent of the cases had subregions with BML worsening (vs. 66%% in controls) (p = 0.102).
Fig. 3 Distribution of change in a temperature and b pressure 1 year after doubling the flux of hydrothermal fluid from the deep part of the system (Run 10, Mʹ = 2000 kg s−1, kʹPCB = 1.0 × 10−10 m2).
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The grey bars represent the distribution of changes between the 10 pre-industrial periods.
The spatial distribution of changes in job accessibility of the scenarios is also very different.
We now examine the distribution of changes in cropland by rainfed versus irrigated agriculture.
The broader distribution of changes is similar to those of the second pattern (Fig. 10, Run 12).
However, this would only have an impact on the distribution of changes which are not relevant in the analysis of this paper.
More suggestions(16)
diffusion of change
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ranges of change
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distribution of modifications
proportions of change
distribution of pain
distribution of space
distribution of pigmentation
distribution of income
distribution of childhood
distribution of information
distribution of empathy
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