Sentence examples for much lower likelihood from inspiring English sources

"There's a much lower likelihood that a student from a boarding school is going to freak out" when they get to an extremely competitive university, he says.

In terms of job satisfaction, while there was no evidence to suggest that the negative effects of mismatch were made worse by migrant status, we found that female migrants, particularly newly arrived, had a much lower likelihood of being satisfied in their jobs relative to their native counterparts.

Ornish crushes the Atkins diet and explains that a low fat vegetarian diet is the only way to long-term weight loss, with concomitant benefits including increased energy, better sex, and a much lower likelihood of dying from a heart attack.

Moreover, it is hard not to take the failure to raise money personally, since it feels for the entrepreneur that he is extending himself in the most vulnerable way: "look what I have built, don't you just love it?" Therefore, my best advice for entrepreneurs who are going to seek capital is to appreciate that it is like dating, but with a much lower likelihood of success.

The much lower likelihood of local adaptation in small populations reinforces the fundamental interest of population size for evolutionary theory.

As other authors also have noted, women tend to report a much lower likelihood of condom use than men [ 21, 31, 32].

The residual variance, Var(e ijkn ), was assumed to be different for each week of the age trajectory as fitting homogenous residuals over the whole or for three separate time segments gave much lower likelihoods, and we had no prior knowledge of the pattern of the error variances.

Only one study included an appropriate patient spectrum[ 80], and this reported a much lower positive likelihood ratio (10.0 compared to next lowest of 58.8), and higher negative likelihood ratio (0.80 compared to next highest of 0.42) than the others.

The results are summarized in table 2. M0 (one-ratio) has much lower log likelihood than the site models which allow ω to vary among sites, indicating highly variable selective pressure along the protein.

Compared to other models, M0 shows a worse fit for the data because of its much lower log-likelihood value than all other models (Table 2), and thereby ruling out the possibility that all sites in the alignment have the same ω ratio.

Where X* was associated with outcome, the area test had much lower power than the likelihood ratio and Wald tests.