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The 95% conformation interval of the predicted mean of the damping force for confidence interval of population (CIpop) is given as begin{array}{l}{mu}_{mathrm{Damping};mathrm{Force}}-{mathrm{CI}}_{mathrm{pop}}<{mu}_{mathrm{Damping};mathrm{Force}}<{mu}_{mathrm{Damping};mathrm{Force}}+{mathrm{CI}}_{mathrm{pop}} kern3.12em 304.36<{mu}_{mathrm{Damping};mathrm{Force}}<337.69end{array} (16).
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Strikingly, the Northwest African influence in Canary Islanders was 17.4% on average (within the 95% confidence interval of population-based methods) while it was significantly lower in Iberians (≈5%; two-tailed t-test p = 1.00E-6 1.00E-6 2).
These concepts are useful in a variety of situations: to summarize distributions, to consider probabilities of individual scores, to consider confidence intervals of population parameters, to compute a t test when asked to assess the statistical significance of a mean difference.
Interval estimates of population parameters are called confidence intervals.
d Occupation data collected through an open-ended question was re-coded on a nine point Socio-Economic Scale adhering to the British Standard Occupational Classification 2000 [ 40] and using the Computer Assisted Structured Coding Tool [ 41]. *Census population estimate falls outside 95% confidence interval of census population.
As Eq. (1) indicates, the IL approach stresses the centrality of the dominant eigenvector implied by the rates prevailing in every interval of a population trajectory.
Also, given a sample proportion p ^, we estimated the 95% confidence interval of the population proportion by p ^ - 1. 96 p ^ 1 - p ^ N, p ^ + 1. 96 p ^ 1 - p ^ N, where N denotes the sample size.
For each factor in the different populations, we also used logistic regression to estimate the OR and 95% CI (confidence interval) of the population-attributable risk, which was calculated using the OR of that factor and its prevalence in the control group.
A study sample of n = 360 from a potential population of 5500 allowed estimation with 95%% confidence intervals of a population proportion being provided with GWG guidelines with precision of approximately 5 % and estimation of a population mean with precision of approximately 10%% of the population standard deviation.
The point after which the differences in expression level between the two populations ceased to be significant (when the confidence intervals of one population overlap the mean of the other) [ 58] was plotted (vertical dotted line).
Moreover, the sensitivity analysis of the method to initial interval and size of population has been studied.
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