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The background-subtracted intensity values were analyzed for normality using Lilliefors test, and either repeated measures ANOVA RMANOVAA) (for normal distribution) or Freidman tests (for non-normal distribution) were used to estimate the statistical significance.
Each item was also analyzed for normality (Kolmogorov Smirnov test).
The car and SUV speed dataset are analyzed for normality using Jarque Beratest.
Data were analyzed for normality and equal variance across the groups.
Data were tabulated, and the offset values were analyzed for normality by using the Shapiro Wilk test, and then submitted to analysis of variance (ANOVA; two factors), considering the whitening and antioxidant factors.
To evaluate the frequency distribution, data from all tests were standardized, pooled and finally analyzed for normality distribution through Shapiro-Wilks test.
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Contiguous data were analyzed for normal distribution using the Shapiro-Wilk normality test.
The continuous variables were analyzed for the normality with the Shapiro-Wilk test.
Both achievement scores and reasoning change scores were analyzed for approximate normality using q-q plots.
Each data set was analyzed for non-normality using Shapiro-Wilk's test.
All data were analyzed first for normality and equal variances.
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