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With the assumption of normality confirmed, parametric tests could be performed.
With the assumption of normality confirmed, systematic change in performance from trials 1 to 3 was examined using one-way ANOVA with repeated measures and a Tukey's post hoc test.
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To test whether the distribution could be considered as bi-modal we carried out the Chi squared test for normality which confirmed non-normality of the distribution (χ 2 = 11.02 with a degree of freedom of 2).
The Shapiro-Wilk normality test confirmed the improved normality of the transformed data relative to the original data.
Statistical comparisons between different groups of data were performed using analysis of variance (ANOVA) after the normality was confirmed using the Shapiro Wilk normality test.
Normality was confirmed using D'Agostino & Pearson omnibus normality test.
Normality was confirmed using a Kolmogoron-Smirnov normality test.
Normality was confirmed using the Kolmogorov-Smirnov normality test.
The Kolmogorov Smirnov test was used to evaluate the normality of the distribution; after the normality was confirmed, we utilized Student's t-test and Chi-square test for comparison of prevalence rates where appropriate.
Normality was confirmed by plotting residuals against normal distributions.
Residuals were derived for each contributing data point and normality was confirmed for the set of all residuals using Shapiro Wilk test for normality.
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CEO of Professional Science Editing for Scientists @ prosciediting.com