We called the academic discipline "statistics" and used its fundamental concepts – means, medians, probability distributions, sampling, significance tests, bias etc – as ways of extracting meaning from data.
Student's t test for independent samples (significance level p < 0.05) was used to compare the group mean values for every tooth.
Differences in reliability between formula and number-right scoring tests were tested using the K-sample significance test for independent alpha coefficients (Hakstian and Whalen 1976).
In general the reliability for NR scores was significantly and substantially lower than for FS scores for both tests A and B when using the K-sample significance test for independent alpha coefficients (Hakstian and Whalen 1976).
(b) Tests of statistical significance across all clinical disciplines were done using Kruskal-Wallis test for independent samples, significance level is P = 0.05 When asked about what types of information was generally disclosed to patients prior to obtaining consent.
The data-driven queries consisted of 134 genes highly differential expressed between Ado-treated and -untreated EPC samples (6 vs. 6 samples, Significance Analysis of Microarrays, SAM, FDR < 0.001, fold-change = 1.7).
Rather, in this work we adopted the interpretive position that trades off notions of sampling, significance and generalizability in favor of depth of enquiry, contextualization, abstraction, dialogue and critical reflection [ 30, 60, 70].
However, the coefficient of the fraction studying FP-I, that was significant at 5percentt in the whole sample, losses significance.
If a significant interaction were to be found in the derivation sample, its significance would be validated by a decline in AIC value in the validation sample.
