Sentence examples for ample statistics from inspiring English sources

Correcting for this bias is difficult without information on the distribution of surnames in science; however, we assume that its affect is negligible since our simple method was able to extract a significant number of prolific profiles with 5 ≤ N p ≤ 20 within each journal set, providing ample statistics in order to analyze the overall longitudinal trends in citation impact.

Citing ample statistics, the Chairman's Staff of the Joint Economic Committee of Congress makes the case that Americans must produce more students to fill STEM (science, technology, engineering, and math) jobs or the economic future of the United States in the new global economy is doomed.

Without ample population statistics in some places, it isn't as simple to categorize in some of the emerging nations.

Similarly, ample research and statistics show that for a variety of industries very successful firms have trouble staying successful.

While there was ample documentation and statistics provided by Lister to the AMA and the establishment, it would take a public outcry after the assassination attempt and the unfortunate, and probably avoidable, death of U.S. President James Garfield to create a serious enough crisis to challenge the entrenched thinking of the old guard.

Ample, widely distributed and utterly reliable statistics show that murder rates are far lower in every other industrial country, and that this correlates closely with the degree of restriction on gun ownership.

These statistics indicate that there is ample scope to generate electricity on a large scale using wind energy.

In fact, there has been ample research dedicated to the quality of government statistics (Zhao et al. 2011).

And even though the statistics are not all in, there was ample evidence early this summer that plain old dollars and cents had contributed to a lot of tourism's woes.

It depends on which set of statistics you use and, as with most statistics, there's ample room to quibble.

Statistics is a difficult topic to teach and learn and there is ample evidence that its application is often faulty in medicine [ 1- 6] as well as in many other scientific disciplines.