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Pareto ranking analyses indicated that the coating weight gain (X7), triethyl citrate percentage (X1) and glycerol monostearate percentage (X2) were the most significant factors affecting the selected responses out of the eight high-risk variables.
The ranking analyses the dimensions, which encompass a wide and integrated vision of how well a city is performing overall, and identifies strong and weak aspects.
Reliability and ranking analyses were carried out on the collected data.
One way ANOVA and Pareto ranking analyses have shown that the ninhydrin reagent concentration (X1), volume of ninhydrin reagent (X2) and heating temperature (X3) were statistically significant factors (P < 0.05) affecting the formation of the cefixime ninhydrin complex Y (absorbance).
Correlation and ranking analyses will explore whether this survey data aligns with the routinely collected NHS Safety Thermometer data.
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Non-parametric (ranked) analyses were applied when violations of the test assumptions were inevitable (e.g., due to data response variables prone to zeros in the dataset) which, ultimately, provided the same statistical outcomes as the parametric tests.
This was corroborated by blinded rank order analyses of axonal integrity or axonal counts, where the two measures were significantly correlated (Fig. 9A).
If the concentrations were non-parametric, then Wilcoxon signed-rank analyses were performed.
Either paired t-test analyses or Wilcoxon signed-rank analyses were performed for normal and non-parametrically distributed data, respectively.
Statistical differences in treatment response were evaluated by pair wise log-rank analyses in SPSS 15.0.
Univariate log-rank analyses were performed to assess the impact of clinico-pathological factors on survival.
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