Sentence examples for most extreme data from inspiring English sources

Onavo found that the difference between Twitter for iPhone and TweetDeck could be as much as $2 a session, under the most extreme data plans.

On each box, the central mark is the median, the edges of the box are the 25th and 75th percentiles, the whiskers extend to the most extreme data points not considered outliers, and outliers are plotted individually with circles.

In each box, the central mark denotes the median, the edges of the box are the 25th and 75th percentiles, the whiskers extend to the most extreme data points not considered to be outliers, and outliers are plotted individually using the symbol +.

The black vertical lines extend to the most extreme data points not considered outliers.

The iterant process was always carried out on the most extreme data used.

When the test was significant, the most extreme data were eliminated and the process was repeated until the adjustment quality control tests were not proven to be significant.

For patients already hospitalized and who had their antimicrobial regimen newly prescribed and/or changed according to the above mentioned criteria, data were collected from the 24-h period prior to the introduction/change in the regimen; for the purposes of analysis, the most extreme laboratory data were considered.

Indeed, as shown in Figure 2, associations were usually largest in EGEA, reaching statistical significance for NO2 although this finding was not robust to the exclusion of the 5% most extreme exposure values (data not shown).

However, as can be seen from Figs. 1 and 2, in these two cases that are the most extreme in the utilized data set, extreme spatial averages are associated with fairly uniform fields over regional scales.

The most extreme combination of heterogeneous data structures and the need for very tight control of access is arguably found in applications to Personalized Medicine, such as those emerging for cancer treatment and prevention.

We found the probability distributions of the most extreme and the median data for each parameter over 1-minute intervals.