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After 7 days of incubation (classical microbiological analysis) the differences among the inoculated plates were manifested.
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An ANOVA analysis of the differences among the strains produced highly significant results (p-value = 9.6e−15) as did repetition of the analysis by the non-parametric Kruskal-Wallis test (p-value = 2.4e−5) (Table 2).
In their article, Wiener and Bennear offer a detailed analysis of the differences among these instruments, including the choice between "discretionary adaptive regulation," through which an agency or committee might look at new information and make a judgement about how to change the policy, and a system of pre-set automatic adaptive thresholds.
However, to date, there has not been a comprehensive analysis of the differences among progenitor cells within any developing tissue.
However, a thorough analysis of the differences among the strains is not possible because the MDR and XDR genome sequences are significantly incomplete.
A major impediment of meta-coexpression analysis is the differences among experiments.
Our repeatability analysis compared the differences among individuals across the whole sample relative to the differences between repeat measures for single individuals (Falconer and Mackay 1996).
The results of the principal analysis indicated that the differences among the participating countries tend to be associated with the above-mentioned variables.
The data were analyzed by the variance analysis (ANOVA) and the differences among the groups were determined by Tukey test.
Statistical analysis showed that the differences among these groups had statistical significance (χ = 24.489, P = 0.000) (Table 2).
Age, BMI, and waist circumference were compared using ANCOVA with Bonferonni post hoc analysis to evaluate the differences among the three groups.
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