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In this way, high statistic samples of single electron events can be collected within a time interval short enough to measure the distribution of the electron arrival-times and to observe the build-up of the interference pattern.
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Choose a sample statistic (e.g., sample mean, sample standard deviation) that you want to use to estimate your chosen population parameter.
So this section is concerned with data analysis in which the following terms such as group statistic, Paired Samples t-test and Independent-Samples t-test have been used.
In order to do so we have measured the average Tajima's D statistic in samples of the simulated pathogen population.
This set of 17778 probe sets was subjected to Significance Analysis of Microarrays (SAM) analysis [84] (http://www-stat.stanford.edu/~tibs/SAM/, which utilizes a Wilcoxon-test statistic and sample-label permutation to evaluate statistical significance between sample groups.
Gene expression profiles were identified using two-class Significance Analysis of Microarrays (SAM) method [ 49] which utilizes a Wilcoxon-test statistic and sample-label permutations to evaluate statistical significance.
Since the chi-square statistic is sample size dependent the chi-square divided by degrees of freedom (df) was utilized to control for sample size effects (Bollen 1989).
The Kaiser-Myer-Okin statistic measured sampling adequacy for factor analysis.
By definition, the probability that a test statistic randomly sampled under H0 is more extreme than the observed test statistic is given by the P-value.
For the locus-genome statistic, a sample size of 500 cases provides 70% power to detect a locus conferring 1.7-fold increased risk due to ancestry [ 3].
Due to ApEn's dependence on the record length an alternative statistic named sample entropy (SampEn) was introduced by Richmann and Moorman [ 18] with the benefit of reduced computational load.
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