Sentence examples for consider statistics from inspiring English sources

Many criminologists consider statistics on robbery to be among the better indicators of the overall crime rate because, in comparison to larceny or burglary, victims are more likely to report it to the police and the police are more likely to record it in their official statistics.

However, the extension of Ferreira's method to consider statistics with a more suitable Student-t distribution is not trivial.

This chapter considers statistics used in sensory difference testing from the perspective of business objectives and risks.

The former is devoted to deal with statistics not depending on time (stationary case) whereas the latter considers statistics that depend on time (nonstationary case).

The performance metrics of SME are shown in Figure 2. Note that the considered statistics do not necessarily include each of the results.

If the judge were considering statistics alone, I suppose I fit all the criteria of an "at-risk" youth.

The flippant responses to Brown's appearance -- from other artists, from the Grammy Foundation, which does extensive outreach work with youth, and from young people across social media platforms -- were especially jarring considering statistics showing that 1.5 million high school students will be abused by a dating partner in the Unite States this year.

Note that this study only considered statistics of the general form (ratio) / (standard deviation).

For example, less-educated individuals may have more difficulty considering statistics, leading to a stronger preference for less physically burdensome preparations compared with individuals with more education.

Considering the results obtained with the eight elementary selection signature statistics in the differential selection scenario first, we find that there is a clear separation between the considered statistics regarding the power in the reference scenario.

If the classifier is to be used for model building, the revealed models should be further investigated, e.g. by thorough review considering statistics such as sensitivity, specificity and complexity of the models.