Sentence examples for which proportion from inspiring English sources

"which proportion" is a grammatically correct phrase and can be used in written English.
It is typically used to introduce a subordinate clause referring to a specific proportion or degree within the main clause. Example: The study found that the majority of students preferred online learning, which proportion increased significantly during the pandemic.

Exact(60)

Here is the first instance in which proportion tells us that something is out of whack: The total mortgage market in the United States is roughly $10.4 trillion.

Ballet, she writes, "is an art of high ideals and self-control in which proportion and grace stand for an inner truth and elevated state of being".

It was essentially derived from dissolved calcite, which proportion was estimated to be 30%%.

Deciding which proportion of the download that a user performs in a session is from peers in the same ISP is done as follows.

However, we cannot determine which proportion of the uptake of 18 F-FLT in FL (caused by proliferation or repair) is explained by uptake in the microenvironmental cells.

As soon as the two requirements are met, it is working under the strong coupling state in which proportion of energy exchange reaches 100% theoretically, as shown in Fig. 3c, which can be called as strong and tight coupling mode.

We also investigated which proportion of truly prominent scientists (according to the ISI Highly Cited Research list of most notable scientists) have Wikipedia presence, and discovered that the coverage is below 50% in each of the four examined fields.

By rationally modulating the ratio of NoDGAT2A:2C:2D transcripts, a bank of N. oceanica strains optimized for nutritional supplement or fuel production with a wide range of degree of unsaturation were created, in which proportion of SFAs, MUFAs, and PUFAs in TAG varied by 1.3-, 3.7-, and 11.2-fold, respectively.

The first is, how many of them are exclusive to one subregion or are shared by two or more subregions, and in which proportion?

The idea is to simulate a public health measure and to determine which proportion of the population should avoid the infection to make the impact of the disease as low as possible.

But at this stage, it is impossible to predict which proportion of susceptibles will actually be immunized by a vaccine based on a pre-pandemic strain, and the effectiveness of this control measure is strongly correlated with this missing information.

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