Sentence examples for statistically correct from inspiring English sources

Although this procedure may be statistically correct, in practice, the amount of correction is generally in the range of two fold whereas the difference in food intake using longer time data (e.g., up to 14-day data) suggests up to a 10-fold difference in the intake of foods that are not consumed on a daily basis.

While we do not claim that our predictions are accurate in individual cases, our experience suggests that they are statistically correct, so that they are able to discover statistical trends, which is what we address here.

In his diaries, he kept lists of the girls he fancied (usually in their late teens), he had a mania for counting the bricks and windows of buildings, and for counting the numbers of bars in his gargantuan orchestral scores, making sure their proportions were statistically correct.

However, regardless of the large number of papers published on the matter, only very few examples of statistically correct systematic optimization studies have been published.

Stimulated by such comparisons, simulated CHAMP data are used to discuss the mutual benefits of a statistically correct combination of GPS phase and accelerometer measurements with accelerometer data treated as additional observations.

Since there are only two rainfall stations in the study area, we used the mean value (256 mm) only because surface creation from two points is not statistically correct.

A multi-resolution fusion process is proposed to further refine the statistically corrected results.

The results for birth weight were statistically corrected for influence factors such as the mother's smoking habits, diabetes, and hypertension.

Normal points that are statistically corrected range data are more than 20,000 (http://polac.obspm.fr/llrdatae.html), which include unique and important information for investigating the deep structure of the Moon (Yoder 1981; Williams et al. 2001, 2013).

Next, we express a known, statistically corrected IO table as ({varvec{a}}_1:({varvec{eta }}^A_1, {varvec{theta }}^B_1)), and consider operation R, which calculates a table that transformed its scale from (a_1) to (a_2) by the RAS method conditional on the marginal sum of another IO table ({varvec{a}}_2:({varvec{eta }}^A_2, {varvec{theta }}^B_2)).

Hence pollsters use samples which are (in theory) randomly drawn and then statistically corrected to closely approximate the demographic profile of the entire population of American adults.