Your English writing platform
Discover LudwigSimilar(60)
We observe that the asymptotic results can predict the finite-system results with marginal error.
Load displacement curves obtained from the numerical results are in good agreement with experiments with a marginal error of 2%.
Among the three modeling methods, predictions using RSM model were found better in agreement with experimental results with a marginal error between 4% and 8%.
A single population proportion formula at 95% CI with 5% of marginal error at 50% of prevalence of occurrence was used to determine sample size.
Confirmatory test at these optimum conditions resulted in a nickel recovery of 74.1%; thus verifying that the model is valid and plausibly fits the experimental data with a marginal error of 7.7%.
A sample size with the marginal error 2.5% expected prevalence of 1.6% and confidence interval of 95%; nonresponse rate of 10% was calculated for 1016 participants.
For simplicity the results of this study were compared with Reverse Osmosis System Analysis (ROSA) software which was assumed to have acceptable marginal errors.
These marginal errors were acceptable.
The required sample size was calculated using single population proportion formula (n = (Z 1-α/2)2 p (1-p)/ d2) with the following assumptions: expected proportion (p) of the study participants who were satisfied with FSPT (75%), marginal error (d) 5% and confidence interval of 95%.
The sample size was calculated using single population proportion formula (n = (Z 1-α/2) p (1-p)/ d) with thefollowing assumptions: expected proportion (p) of the study participants who were satisfied with HEP (50%), marginal error (d) 5% and confidence interval of 95%.
The sample size was determined by using single proportion for finite population with 95% confidence interval, marginal error (d) of 5% and the prevalence (P) of 50% and considering 10% non-response rate to be 258.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com