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Tests to examine differences between populations included analyses of proportions (χ test and Fisher exact test), the non-parametric Wilcoxon signal rank test on paired data, and the Student t test on unpaired data.
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Chi-square analyses were first conducted to examine differences between population groups within each demographic factor (p < .05).05
To examine differences between groups, the population was dichotomised by primary diagnosis (AIDS and cancer) and place of care (homecare vs. other).
This population can be well suited to examine differences between immigrants and host-country populations, because many confounding factors (e.g., severe maternal pre-pregnancy morbidity and fetal complications) are already eliminated.
Chi square analyses were used to examine differences between the sample and the population of birthing women in Queensland to assess sample representativeness.
Another limitation of the study was that we were unable to examine differences between subgroups of the Hispanic population, since most respondents in this study were from a single country.
We used weighted population estimates to examine differences between rates for teenage pregnancy, motherhood and abortion.
T-tests were used to examine differences between conditions.
These evaluations did not systematically examine differences between Job Broker types.
We also examined differences between these 10 stream-spawning populations to determine whether selective pressures from gillnet disentanglement were uniform across discrete spawning populations with distinct mean lengths (Fig. 7).
We examined differences between naturalized and non-naturalized populations (e.g. the roles of propagule pressure, land use and bioclimatic suitability), assessed invasion risk, and provide recommendations for control.
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