Sentence examples for significant columns from inspiring English sources
Hanging wall closure is most often sealing and, therefore, retains significant columns of hydrocarbon, often leading to high minimum effective stress and fluid charging.
However, SNPs in rows 1, 5 9, 11 and 12 have effects that are consistent with the NECS and SICS and, when the data of the 3 studies are aggregated, they become significant (columns 12 14).
Note : standard errors are White heteroskedasticity-consistent; threshold value of DES per caput in quadratic specifications where coefficients are statistically significant (columns (7) and (8)) : 2875 and 2798 kcal/day, respectively.
Note : standard errors are White heteroskedasticity-consistent; threshold value of DES per caput in quadratic specifications where coefficients are statistically significant (columns (7) and (8)) : 2967 and 2929 kcal/day, respectively.
No significant column size effect on the chaotic dynamics of solid particles was observed.
A recent study, however, showed that the columns of B-SPSWs resist significant flexural demands during earthquake shaking due to differential interstory drifts that result in significant column rotations at floor levels.
These differences are statistical significant (column (3)).
The estimated direct cost difference per participant was not significant (column 5).
Table 6 panel A presents the OLS estimates for the subsample of engineers, which show that the effects of engineering experience accumulated in Singapore and Malaysia are not statistically significant (column 1), and this is true for local employers (column 2), as well as for foreign employers (column 3).
What is interesting, however, is that at the state level the IV coefficient is positive and significant (column 2), suggesting that increased violence in the state led more, rather than fewer, individuals to move abroad.30 31 To reconcile the differences in the municipal- and state-level results, we consider the "perception of insecurity" variable in our theoretical model.
Excluding patients who died before discharge yielded associations that were smaller and not statistically significant (column 3, Table 2).
