Sentence examples for make a proportion of that from inspiring English sources

The proposal on the table is that any developer building student accommodation going forward must make a proportion of that affordable housing.

The density of the samples were divided to make a proportion of the internal control sample that was included on each gel.

Results showed that Alp and Fep make a large proportion of the Alo and Feo meaning that organoaluminic complexes dominated in the "active" metal pool instead of inorganic compounds.

However, the pound's weakness boosted the UK's FTSE 100 share index – which features companies that make a significant proportion of their profits in dollars – as it closed at 7,097.5, near its record closing high of 7,104 last year.

In South Carolina, black voters make up nearly half of the Democratic voters, a greater proportion than any other state, and black women make up a significant proportion of that vote.

The Department for Energy issued a statement saying that its policy was to have targets in the future for renewable energy and that no decision has been made on what proportion of that energy will come from different sources.

Because coffee beans make up such a small proportion of that cost customers might have concluded that the extra 10p was to cover the cost of the fair trade coffee, but they would have been wrong.

Hence, a statistically significantly larger proportion of the studied physicians make a priority decision that seems to be in conflict with the official values expressed in the ethical platform for Swedish priority setting.

CONCLUSIONS: Sadly (because I want a "holodeck" as much as the next red-blooded geek) - I don't think it's possible to make a VR system that both delivers the experience that everyone wants - and doesn't make a sizeable proportion of the population so sick that they'll never want to do it again.

Among those making Errors, the proportion of subjects that made motor Errors increased significantly as the tasks became more complex (F 1,7)=2.66, P<0.05).

Only rough estimates have been made of the proportion of patients that are overdiagnosed and identification of those patients is difficult.