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Discover LudwigSuggestions(5)
The phrase "assumptions of normality" is correct and usable in written English.
It is typically used in statistical contexts to refer to the presumption that data follows a normal distribution.
Example: "Before conducting the analysis, we must check the assumptions of normality to ensure the validity of our results."
Alternatives: "normality assumptions" or "assumptions regarding normality".
Exact(60)
All data were tested for the normal parametric assumptions of normality and homogeneity of variance [ 44].
Euclidean distance values were square-root transformed to meet assumptions of normality and homoscedasticity of ANOVA.
Size data were square-root transformed to meet statistical assumptions of normality and variance homogeneity.
Data were tested for assumptions of normality and homoscedasticity, and data were arcsine or log transformed accordingly prior to analyses.
LCC scores were log transformed to meet assumptions of normality and heteroscedasicity.
To meet assumptions of normality for imputation models, MVL was log-transformed.
All variables were log-transformed before statistical analyses to satisfy assumptions of normality.
Unstandardized predicted values and standardized residuals were used to check the assumptions of normality.
The linear regression model assumptions of normality, linearity and homoscedasticity were assessed using residual plots.
All models were statistically validated for assumptions of normality of residuals and absence of heteroscedasticity.
Both analyses conformed to GLM assumptions of normality of residuals and homogeneity of variance.
More suggestions(15)
interpretations of normality
perceptions of normality
notions of normality
principles of normality
assessments of normality
questions of normality
expectations of normality
hypothesis of normality
assumptions of mancova
assumptions of multiculturalism
assumptions of guilt
assumptions of Part
assumptions of course
assumptions of proportionality
assumptions of empire
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com