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A significance probability (P) values of < 0.05 was considered significant.
The data from San Francisco County, however, produce a moderately small significance probability (0.08) arising from a distance analysis and a significant p-value (0.01) arising from a frequency analysis of concordant case pairs.
The relationship between most practices and company experience was higher than 40 with five degrees of freedom (df) and a significance probability ((p)) less than 0.001 i.e., a very significant result at conventional levels.
Scale bars: 400 μm; * denotes t test at 0.05 significance probability level; ** denotes t test at 0.01 significance probability level.
Furthermore, using a Monte Carlo test, a significance probability is computed in order to assess how likely any stability measure is, under a null model that specifies the absence of cluster stability.
Here, P value indicates the significance probability of the coefficient of each explanatory variable and this value is required to be less than 0.05 which shows variation of less than 5%.
Similar(26)
To single out significant tests in a group, raw significance probabilities were corrected by the sequential Bonferroni method for multiple independent tests as indicated in [60].
Significance probabilities of ≤0.05 are evidence of at least one significant regression factor in the model.
The individual significance probabilities of each parameter term and the F-ratio are shown in Table 3.
All significance probabilities (P values) shown were two-tailed, and values of P < 0.05 were considered statistically significant.
The paper illustrates how the obtained PLSR "significance" probabilities are similar to those from conventional factorial ANOVA, but the PLSR is shown to give important additional overview plots of the main relevant structures in the multi-response data.
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