“may not be significant”

The results indicate that while religion’s direct effect may not be significant, its moderating influence is pronounced, particularly with Atheism (β=2.6799, P=0.007).

These differences may not be significant due to the small sample size in this study (all P < 0.05) ( Fig. 4 ).

This behaviour occurs because of imperfections in received symbol data may not be significant for the demodulator to corrupt data, but it may be significant to become a cause for concern.

The Cochrane Handbook 33 provides the following cutoff points for interpreting the I 2 : A percentage between 0 and 40% suggests that the difference may not be significant, a percentage between 30% and 60% suggests that the difference may be moderate, a percentage between 50% and 90% suggests that the difference may be substantial, and a percentage between 75% and 100% suggests that the difference may be significant.

These are significant and translate into a design effect between 1.64 and 1.85 which will mean that some of the more marginally significant findings may not be significant.

Although the clinical effects of bedtime on BP may not be significant in all populations, these effects may be significant in some special populations.

The next challenge will be understanding the implications of changes in functional assays that may be significant in the context of in vitro studies, but may not be significant at the organismal level.

Though, due to some of the treatment groups having less replicates compared to others, some of the statistical comparisons may not be significant despite them showing a strong trend.

The meta-analysis down-weights TrF-pathway co-expression patterns specific to one data set, even if this pattern may be significant in the data set ( Figure 3A ); and enhances the patterns consistent across data sets but may not be significant in any one data set ( Figure 3B ).

ENIGMA also allows for the identification of “slow climbers”—genetic variants that may not be significant in all studies or in any one study alone, but may become highly significant when data is aggregated across studies.

Significance of the pairwise t-tests is strongly dependent on the number of isolates of each species sampled, so the groupings shown in Table 5 do not simply change with the magnitude of the difference of the means; a large difference may not be significant if there are small sample sizes for both species while a smaller difference may be significant.

We expect that although there may not be significant results when aggregated, there may be significant results at the country level.

Due to the small size, some correlations may be significant by chance, and some may not be significant even though there is a relation between the variables [ 34 ].