Sentence examples for disregard data from inspiring English sources

Exact(6)

Decades of psychological research have shown that people, regardless of political affinity, tend to embrace information that confirms their existing beliefs and disregard data that contradicts them.

However, if we disregard data with SNR less than 8 dB, we see an implementation loss of about 2 dB except for one outlier (  dB, %).

We will continue to raise questions and voice our deep and growing concerns about policies that disregard data, facts and evidence of all national security threats through violent extremism and that instead single out and criminalize communities that themselves are under attack.

Our results also emphasise that quality assessment regarding the acceptability of individual blows including EOT assessments should be primarily used as an aid to good quality during testing rather than an excuse to subsequently disregard data.

8: Introduce the correction factor of into the Z-value: (7) 9: Calculate the p-value from the Z-table [ 62] and disregard data that are less than the defined threshold of 0.05.

The results from this study emphasise that quality assessment regarding the acceptability of individual blows including EOT assessments should be primarily used as an aid to good quality during testing rather than a reason to subsequently disregard data.

Similar(54)

Wolf harvests were litigated for years until Congress, under pressure from hunters and ranchers who felt that environmental lobbyists disregarded data saying that wolf populations were sufficiently robust, removed the animal from the Endangered Species List in 2011.

Additionally, we disregarded data from subjects 1 and 3 owing to their reported drowsiness during EEG recording.

While these tools provide a safe approach, they are overly conservative, which is mostly a consequence of disregarding data in the reconstruction process.

However, as imbalance still remained in the data procured from some of the subjects, we also disregarded data from subjects whose high/low familiarity report ratios were less than 0.30.

Beane also disregarded data points that other managers cared about but that had little proven effect on a player's contributions to a team (a player who had a funny style of pitching, for example, or one who could make saves but couldn't get on base).

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