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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].
Our energy results showed the R213W mutation would result in destabilization but the standard deviation is significant.
The deviation is significant between the simulated data and experimental data for genes AGL24 and SOC1 in all the three models.
A rank deviation is significant if the rank order of the same intervention differed by two or more points on the ordinal scale.
The best agreement is shown with glycerol and glucose (around 13% overestimation), but deviation is significant with methanol (around 50% overestimation).
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However, Bayesian change point analysis does not indicate this deviation was significant; the NAO reconstruction only has one datapoint registering this change.
As shown in figure 3, the rightward deviation was significant for the two greater widths, but not for the smallest width.
While the ANOVA revealed no significant effect of width [F 2,209) = 1.90, ns], one-sample t-tests revealed that the rightward deviation was significant for widths of 900 and 1500 mm, but not for a width of 500 mm (see Figure 3).
When the pooled numbers were compared with the expected values by a replicated goodness-of-fit test, the deviation was significant (GP = 4.88, 1 df, P < 0.05).
Whereas, in the case of mice treated with extracts of P. schimperi and P. vogelii, the deviation was significant (P < 0.05) only at the highest dose (800 mg/kg).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com