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The statistical proportion of each SSCB occurring with different confidence intervals is shown in Fig. 10.
Open image in new window Fig. 10 Statistical proportion of the SSCBs.
As the ranges have been collected from real world data by doing statistical proportion operation (e.g. top 30%% values are high) for deciding different level (i.e. high, medium and low), using trapezoidal membership function is logical as it deals with ranges with flat region better.
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Since plot sampling was clustered or simple random sampling for professional and community plots, respectively, it was assumed that the plots satisfying the canopy cover criterion reflect different AGB classes in their respective statistical proportions and the estimates are therefore unbiased.
Fisher's exact test was employed to compare the statistical proportions of poor outcome or good outcome in these two subgroups.
Each sample was observed by Olympus fluorescence microscope to be classified to different stages by the developmental characteristics of both the Micronucleus and Macronucleus during conjugation and counted many enough cells to conclude the statistical number proportion.
Performance of five risk adjustment models was evaluated from three aspects: statistical indicators, proportions of true cases identified by models, and characteristics of predicted cases.
Table 5 The comparative subjective quality evaluation results Number of observers Comparison clips for each observer Total number of scoring trials Comparison scale Number of scoring trials Proportion Statistical mean 95% confidence interval for statistical mean (α = 0.05) 50 90 4500 0 4478 99.51 % 0.005[0.0030, 0.0070] 1 22 0.49%.
This statistical test of proportions compares the observed proportions of an event (here, SNPs) in k samples (here, strains), uses a chi-squared test to seek significant differences among the proportions, and subsequently adjusts the confidence intervals for each sample.
As the domains had unequal numbers of items, all statistical analyses used proportion correct.
Comparisons among groups were performed using common statistical tests for proportion analysis and the log-rank test for univariate analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com