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After testing for normal distribution using the Shapiro-Wilk test, normally distributed hemodynamic variables were compared with baseline by analysis of variance (ANOVA) for repeated measurements [ 28, 29].
After testing for normal distribution and variance homogeneity, a One-Way Analysis of Variances (ANOVA) was preformed.
Data are presented as mean and standard deviation after testing for normal distribution by the Shapiro-Wilk test.
For comparisons, the t test (based on testing for normal distribution) or the 2-tailed Mann–Whitney U test was used as appropriate.
Continuous data are reported as mean and standard error and were compared using unpaired Student's t test or Wilcoxon rank-sum test after testing for normal distribution (Shapiro-Wilk).
A two-sided paired Student t-test was used to assess pulse sequence dependent differences for both SNRs and CNRs after testing for normal distribution; a p value of less than 0.05 was considered indicative of a significant difference.
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Data were tested for normal distribution (Shapiro-Wilk normality test) and homogeneity of variance (Levene test).
The experimental results were first tested for normal distribution with Anderson-Darling normality test.
Data was tested for normal distribution using Shapiro-Wilk test for normality.
First, the data was tested for normal distribution using the Kolmogorov-Smirnov normality test.
To test for normal distribution of input data, D'Agostino Pearson omnibus normality tests were performed.
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