Sentence examples for proportion of discrimination from inspiring English sources

Exact(1)

Significant heterogeneity was found in the proportion of discrimination errors among different rotated vowel pairs, and among different rotated consonant pairs (Friedman nonparametric two-way ANOVA [11], Fr = 59.9, df = 9, p<0.0001 for vowels; Fr = 221, df = 104, p<0.0001 for consonants), demonstrating that rotated syllables initially have differential perceptual identities.

Similar(59)

It may be interpreted directly as the proportion of discriminations made in the sample, adjusted for the length of the scale.

In South Africa, with a far higher proportion of blacks, discrimination brought much larger reductions in incomes across the economy.

The proportion of correct discriminations (hits) and proportion of false alarms (FA) were computed considering the presence of a new item as 'signal present' and an old item as 'signal absent'.

From the videotapes, we measured the frequency of thumb movements per second, the total exploration time per object pair and the proportion of correct discriminations as a function of length differences.

For object pairs above the critical threshold difference in the major axis of approximately 2 mm, the proportion of correct discriminations was significantly lower in the patient group (0.79, CI 0.75-0.83) compared to the control group (0.95, CI 0.93-0.96) with p <.001 (z-approximation) [ 21].

The proportions of correct discriminations (hits) and false alarms on the LATs were computed as follows.

If, on the other hand, the sounds are initially processed by the native language phonological system, there should be an independent effect of phonological distance on the discrimination of such sounds phonological distances should explain a significant proportion of the variance in discrimination performance in addition to that explained by acoustic distances.

Other The proportion of respondents who had experienced discrimination varied: 4% experienced disability discrimination, 14% age discrimination, 2% sexual discrimination, 7% gender discrimination, 4% nationality discrimination, 6% physical appearance discrimination, 3% ethnic background discrimination, 1% criminal record discrimination, 2% religious discrimination, and 4% other discrimination.

The survey shows a 23 per cent increase in one year in the proportion of staff reporting such discrimination and have led to calls for the department, which leads government efforts to tackle discrimination at work, to "sort out its own housekeeping".

Under this model, acoustic distances will significantly explain some proportion of the variance in discrimination performance, and phonological distances will not explain any significant variance in addition to that explained by acoustic distance.

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