Furthermore, for three samples the width of the resonance peaks were similar suggesting that the amount of gold deposited close to aluminum does not differ significantly in the three samples.
The simulations and the observed thickness of the orthopyroxene rims on our samples (thickness <60 nm) are also consistent with the width of ion-amorphized layers in experimental samples, the width of rims on lunar regolith grains, and previously described Itokawa samples (Keller and McKay 1997; Carrez et al. 2002; Loeffler et al. 2009; Noguchi et al. 2011, 2014).
Two pathways are connected with each other based on their co-covered sample percentage; the width of each edge is proportional to the sample coverage percentage.
The strain in the bulging part can be calculated from the initial length of the sample and the width of the bulging section.
But the limitations of this study were that it has a small number of samples and the width of the bone could not be assessed using radiographic images.
A justification of the sample size was provided by 58%% of protocols, but a sample size calculation by effect estimation was performed in only 11%% of the NIS; 35 % justified the sample size by the width of a predefined confidence interval and 12 % justified the sample size by simply declaring their sample size as appropriate for answering the study objectives.
As expected, as the sample size increases, the width of confidence interval of all correlation coefficients becomes narrower.
To demonstrate the relationship between sample size and the width of the confidence interval of the estimated variable, we calculated the width of the 95% confidence interval of the limits of agreement (0.52 standard deviations of the bias).
Where ξ 0 = U 0/d is the applied field and U 0 is the applied voltage, σ L = d/⌊h(L w +L b )qμ w R L N A ⌋ is connected to the load resistance R L, d is the sample length, h is the width of the sample, μ w and μ b are the hole mobility in the QW and the GaAs barrier, respectively.
For simple random samples, sampling error (and hence the width of the "MOE") decreases at rate "root n" (e.g., doubling a poll's sample size produces a 141% reduction in the MOE).
