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The normal approximation works best within a few standard deviations of the mean and performs best in this region when E X n is relatively large.
We then centered the values about their mean, and performed principal components analysis and k-means clustering.
Using these weighted correlations, we calculated means and variances and performed t-tests (n = the number of groups in the analysis).
This server detects the stimulus onset of each trial by means of TAP-S and performs asynchronous averaging of ERPs.
This server detects the stimulus onset of each trial by means of TAP-S and performs ERP analysis.
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Comparisons of means and proportions were performed with the standard normal z-test and x2 tests, respectively.
Comparisons of means and proportions were performed with variance analysis and x tests, respectively.
Comparisons of means and proportions were performed with the standard normal Z test and χ test.
Comparisons of means and proportions were performed with the standard normal z and χ2 tests, respectively.
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