Sentence examples for mean were classified from inspiring English sources

above the mean were classified as affected.

Those scores which are greater than the mean were classified as having sufficient knowledge.

Level of knowledge of HCWs was categorized based on the mean value; those who scored below the mean were classified less knowledgeable and those who scored above the mean were classified knowledgeable.

Individuals with a mean score more than one SD below the screening sample mean were classified as aschematic and those with a mean score more than one SD above the mean were classified as schematic.

Individuals who scored below the mean were classified as having poor quality of life on each of the six domains.

Participants that score below the mean were classified as experiencing low levels of each category of job stressor.

Deviations from the expected mean are classified in distinct categories.

Percentages below the total mean are classified as morally more permissive (N = 12,460, standard error between 0,0 % and +/−0,7%% based on 95 % CI).

Infants scoring one standard deviation above and below the normative mean are classified as "difficult" and "easy" respectively.

This limitation exists because any signals from historical data produced by the algorithm, and not detected by other means, are classified as false positives, when many may have been genuine.

Specimens with nuclear staining score lower than the mean percentage were classified as low expression and vice versa.