Sentence examples for poor calculated from inspiring English sources

Exact(1)

The Center on Budget and Policy Priorities, a research institute that studies how government programs affect the poor, calculated that a couple with two children and income of $20,000 would get a benefit of more than $2,000.

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In its mid-year 2012, Scorecard, Standard and Poors calculated the number of actively managed funds outperformed by benchmarks over various time periods.

Indeed, Chevron's strategy in the Canadian judicial system may be the next example of poor calculating as the Ecuadorian's efforts to seize assets progress there.

The three categories of "good", "moderate", and "poor" were calculated in percentages and rounded to the nearest decimal.

Once achieved, polio eradication would generate net benefits of US $40-50 40-50 billionlly by 2035, with the bulk of savingloballye poorest countries, calculated bysed on investments made since the Global Polio Eradication Initiative (GPEI) was formed and savings from reduced treatment costs and gains in productivity.

At such levels, public outrage would be immense, but we are prepared to tolerate such risks from the climate because the prospects of catastrophic levels of warming are still regarded by many as remote, the study suggested, and we are poor at calculating risk.

A post hoc binary logistic regression (univariate and multivariate analysis) was performed to identify the role of T1 endocan and other variables to predict poor evolution, calculating the odds ratio (OR) and its respective 95% confidence interval (CI).

However, in 2009 and 2012 data quality were too poor to calculate hospital-based neonatal mortality rates and data on stillbirths were generally missing or unreliable.

Scale 5 = very good; 4 = good; 3 = neither; 2 = poor; 1 = very poor Significant difference calculated using Mann-Whitney Test Overall the median frequency in which the reported links were used between the agricultural support and health and other human services was between monthly to three monthly and there was no significant difference found between sectors across all of the activities.

The relationships of independent/predictor variables (age, gender, level of education, training, job location, professional category, and service year) with dependent variables (good knowledge, poor knowledge, good practice, and poor practice) were calculated through cross tabulation and a summary table was generated.

The proportion of subjects afflicted with each poor outcome was calculated, as were the proportions experiencing 0, 1, 2, or 3 poor outcomes.

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