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The standard deviations are significant for the pay-for-performance and the assistance by NPP in model MN1.

The results proved that the use of robust methods is advantageous in the estimation problems where noise and deviations are significant, such as in biological and medical applications.

Both standard deviations are significant and relatively higher than the others, whereas the standard deviation of the trend level ((sigma _{eta })) is statistically non-significant.

The deviations are significant in scenarios where P. pastoris grows on methanol, suggesting that the hypothesis of maximum growth could be not dominating in these situations.

To assess whether these deviations are significant, a G-test for goodness of fit was performed using the observed counts of duplications and those expected based on chromosome sizes.

The fact that these standard deviations are significant implies that preference heterogeneity is present for these attributes amongst the respondents.> -wrap-foot> ** = p<0.01; *p<0.05 (log likelihood null model -3897.87).

Similar(54)

For model 8.51 the overall pattern of deviations was even better, since the line flattens out, but some deviations were significant to the 95% level (Figure 5B).

Differences in means and deviations were significant in some scales, but effect sizes are minimal except for Sociability in the Spanish sample.

However in the case of model 8.5 none of the deviations were significant to the 95% level since all points lay within the dashed boundary lines of the confidence interval of the standard normal quantiles (Figure 5A).

The results of experiment 2.3 with the FUP loading geometry show the contribution of the CS to the standard deviation is significant (p ≤ 0.050), whereas the degree of significance of the rest of the factors is greater than 0.150 (p > 0.150).

The degree to which the deviation is significant is derived by normalising the value by the expected standard deviation σ [8, 9, 34, 35].

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