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The Kolmogorov Smirnov test was used to check whether continuous variables conformed to normal distribution.
However, the Shapiro-Wilk test shows that the parameter α does not conform to normal distribution, whereas parameter n does.
Multivariate statistical analysis requires that the observations conform to normal distribution and the data transforms, such as log-transform (Cloutier et al. 2008), rank-ordered (Miller et al. 1997) and normalization (Ravichandrana et al. 1996; Ruiz et al. 1990), are carried out before doing multivariate statistical analysis.
The distributions remain to be tested in non-clinical populations but will certainly not conform to normal distribution.
Measurement data between the groups were compared by Student t test or Mann Whitney test according to whether or not they conformed to normal distribution.
In the comparison of repeated measurements of intragroups, data that are in conformity with normal distribution in repeated measurements were analyzed with ANOVA (paired t-test as post hoc), and data not conforming to normal distribution were analyzed with Friedman test (Wilcoxon test as post hoc).
In the comparison of quantitative data of the two groups (control and midazolam groups), data that are in conformity with normal distribution were analyzed with Student's t-test, and data not conforming to normal distribution were analyzed with the Mann-Whitney U test.
Inspection of normalized residual plots and skewness statistics reveal that all the variables in our analysis conformed to normal distributions, as do the close correspondence between the mean and median of each variable in the table.
The distribution of the logarithmically transformed Cd excretion rates conforms to normal (Kolmogorov-Smirnov goodness of fit test, p = 0.99).
We allowed all of the parameters in our model to change simultaneously, and we assumed that the value of each parameter conforms to a normal distribution with CV = 0.05 (CV = coefficient of variation = standard deviation / mean).
Raters were instructed to rate from 1 (lowest creativity) to 5 (highest creativity) each subjects' DT product according to their own notion of "creativity", and instructed to bin subjects to conform to a normal distribution (e.g., 5% each 1's and 5's, 10% each 2's and 4's, 70% 3's).
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