Sentence examples similar to skill in quantitative reasoning from inspiring English sources

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This lab series introduced many mathematical skills, including data normalization and statistical testing of differential gene expression, through real-world examples, an approach shown to result in higher learning gains in quantitative reasoning skills for biology students (Matthews et al., 2010; Feser et al., 2013; Hester et al., 2014).

In addition to taking courses in these disciplinary areas, students must fulfill skills requirements by completing two course credits in quantitative reasoning, two course credits in writing, and courses to further their language competence.

In addition to completing courses in these disciplinary areas, students must fulfill skills requirements by taking two course credits in quantitative reasoning, two course credits in writing, and courses to further their foreign language proficiency.

The Poorvu Center for Teaching and Learning (CTL) offers several tutoring options in quantitative reasoning and science.

More and more colleges are requiring courses in "quantitative reasoning".

More and more colleges are requiring courses in "quantitative reasoning". In fact, we should be starting that in kindergarten.

The largest differential was in quantitative reasoning.

Both tests are roughly the same length and feature five comparable sections in verbal skills, reading comprehension, quantitative reasoning, math achievement and writing.

The dramatic differences in the pretest versus the posttest results clearly show that students made gains in knowledge acquisition, as well as quantitative reasoning skills.

A group of biology faculty members at James Madison University developed a multiple-choice assessment to examine graduating biology students' skills in quantitative and scientific reasoning; these faculty members then "closed the assessment loop" by using these data to modify their teaching (Hurney et al., 2011).

However, many biology graduates lack sufficient skills in mathematical and quantitative reasoning, analysis and visualization of big data, and cross-disciplinary approaches required to solve complex biological problems (Feser et al., 2013; Magana et al., 2014).

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