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The sample size was calculated by using single population proportion formula.
The sample size was determined by using single population proportion formula with the assumption of: 50 % proportion, 95%% confidence level and 5%% margin of error.
The sample size was determined by using single population proportion formula taking 53% prevalence of H. pylori infection among dyspeptic patients [ 24] and a marginal error of 5%.
Sample size was determined by using single population proportion formula by considering the following assumptions: 95% confidence interval (CI), 50% proportion (since there was no previous study in the study areas), 5% marginal error.
For the quantitative study sample size was determined by using single population proportion formula by considering 50% proportion of fertility desire among PLHIV with 95% confidence interval and 5% marginal error.
The sample size of the study population, children aged 1 to 9 years who resided in the study district, was estimated by using single population proportion formula, [n = (Z α/2) / p (1-p)] [ 11].
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Due to the increase in the sample size, the associated cis-effect DNA regions when using the 3 populations were smaller than those detected by using single-populations.
The sample size was calculated by using single-population proportion formula, with the following assumptions: estimate of prevalence (50%), margin of error (0.05), 95% confidence interval (CI), and 10% for anticipated nonresponse.
Sample size was calculated using single population proportion formula by assuming the 95%% certainty and a maximum discrepancy of 5%% between the sample and the underlying population.
The sample size was calculated using single population proportion formula by taking the proportion (p) of modern contraceptive utilization by adolescents to be 57% [ 12].
Sample size of this study was determined using single population proportion formula by considering 95% level of confidence, 5% margin of error and proportion of HCWs who were vaccinated with HBV vaccine 61.2% [ 21].
More suggestions(16)
by using single value
by using single trial
by using single radio
by using single particle
by isolating single population
by using finite population
by using single edge
by using single method
by using single jet
by using single factor
by using single degree
by using single input
by using single phase
by using single photon
by using single sperm
by using single crystal
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