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For the multi-objective cost-efficiency evaluation (IPOG-F, jenny), we followed the same two steps previously mentioned: transformation of the cost-efficiency (two-dimensional) representation into a one-dimensional one and usage of statistical tests, such as the t-test or the nonparametric Wilcoxon test (Signed Rank) (Kohl 2015), to compare each pair of test suites (TTR 1.2 and other).
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Table 2 Results of statistical tests SP800-90B AIS20/31 SP800-90B Health test Statistical test IID test MN-TRNG 100%100%100%100 % ML-TRNG 100%99%97% 97 % The pass rates of SP800-90B healtestest, AIS20/31 statistical test, and SP800-90B IID test are shown.
Three types of statistical tests were used.
We performed two types of statistical tests.
Here we highlight the appropriate usage of different statistical tests and demonstrate the value of interactive, univariate (cloud plot), and multivariate (PCA plots) visualization tools for different experimental designs: two-group comparison, meta-analysis, and multigroup comparison.
The fifty-nine studies were run through a series of sophisticated statistical tests.
Table 2 shows the results of selected statistical tests.
This reduces the power of the statistical tests.
(C) Summary of all statistical tests.
He quotes with approval, for instance, an unnamed HR veteran who assures him IQ testing is a waste of time: "The ancient statistical tests are of course fraudulent.
Furthermore, no statistical tests of significance were performed.
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