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The data was tested for normality and it showed a non-normal distribution.
Data were tested for normality using the Shapiro Normality Test.
Data were tested for normality.
Data were tested for normality using the Kolmogorov Smirnov test.
Each model was tested for normality, homoscedasticity and linearity.
Continuous data were tested for normality by Shapiro Wilk's test.
Firstly, variables were tested for normality before analysis.
These data were tested for normality with the D'Agostino-Pearson normality test.
Data were tested for normality using the Kolmogorov-Smirnov test or Shapiro-Wilk test, as appropriate.
Data were tested for normality by using the Shapiro Wilk test.
All variables were tested for normality of distribution using the Kolmogorov-Smirnov test.
More suggestions(15)
tested for average
tested for typical
analysis for normality
tested for efficacy
tested for superiority
tested for malaria
tested for instance
tested for variation
test for normality
tested for cross-reactivity
tested for brucellosis
tested for biocompatibility
tested for significance
tested for disease
tested for contamination
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com