Sentence examples for technology statistics from inspiring English sources

Some reporters at the motor show were permitted to try the 3E glasses, which relayed performance and technology statistics over live footage of Nissan vehicles in motion.

Once these introductory courses are complete, students begin taking industrial engineering courses on topics such as engineering economy, manufacturing technology, statistics, work design, and operations research.

In addition, student responses supported the module's ability to provide hands-on, learning-based tasks, which fostered their ability to master technology, statistics, and job- and career-related skills.

Thought leaders from academia, government and industry across disciplines including clinical medicine, computer science, public health, informatics, biomedical research, health technology, statistics and epidemiology gathered and discussed the pitfalls and challenges of Big Data in healthcare.

The scholarship, S$10,000 per academic year, supports courses such as accountancy, business, computer science, economics, financial engineering, information technology, mathematics, statistics, as well as other approved disciplines.

However, it is important to reiterate that GWAS studies should be conducted on large samples and ensure good clinical diagnosis and powerful technology and statistics.

Clearly, more money needs to be spent on research and development of mobile technology as statistics report glowing successes in current school programs.

As a young woman who has worked in the tech-startup industry for the past few years, I would think that more females would want to be a part of shaping the future of technology, yet statistics illustrate the opposite.

There has been major progress in some areas, mainly driven by the advances in technology and statistics, but it is fair to say that we are still not much closer to a complete understanding of the genetics of hypertension than a decade ago.

Most responses to the open-ended question, "Please describe the purpose of the QTL (Bioinformatics) module from a learning standpoint in the space below" described a combination of learning objectives that factored down to six main categories: 1) illustrative, 2) content knowledge, 3) hands-on learning, 4) technology, 5) statistics, and 6) job related.

Furthermore, the use of database technologies and statistics played a critical role in reaching a meaningful conclusion in the present study.