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Discover LudwigThe phrase "analysis of the normality" is correct and usable in written English.
It can be used in contexts related to statistics, psychology, or any field where assessing the normality of data or behavior is relevant.
Example: "The analysis of the normality of the dataset revealed that it did not follow a Gaussian distribution."
Alternatives: "examination of normality" or "assessment of normality."
Exact(2)
Holmes offered a similar analysis of the normality of the roots of persecution: "Persecution for the expression of opinions is perfectly logical," he said.
The analysis of the normality of data distribution was followed by a Student-Newman-Keuls test for all pairwise comparisons in the case of normally distributed data groups or by the nonparametric Kruskal-Wallis test and post hoc analysis for the groups including nonnormally distributed data.
Similar(58)
The validity of the linear mixed model was checked using the analysis of the residuals; the normality of residuals was tested with the Shapiro Wilk test and the outliers were identified using box plots.
The analysis of normality in the distribution of the data showed no indications of a skewed distribution within each group.
The data were submitted to analysis of variance, least significant differences and, in some cases, the average Dunnet test was applied after analysis of the parameters of normality of the data.
During standard semen analysis procedures, the normality of sperm morphology is an important characteristic in determining the fertilizing potential of spermatozoa [ 35, 36].
Analysis of normality of the continuous variable was performed with the Shapiro-Wilk test.
For example, in a sensitivity analysis to assess the impact of the Normality assumption (analysis assuming Normality e.g. T-test vs. analysis without assuming Normality e.g. Based on a sign test) and outlier (analysis with and without outlier), this can be achieved through 2x2 factorial design.
Table 17 presents results of the analysis of data normality (p−v a l u e (p) and skewness) where we can see all evaluation classes.
The data obtained for each of the evaluated quantitative variables were subjected to an ANOVA analysis and a mean comparison test after an analysis of normality of the data.
Analysis of normality of the sample was carried out using a Kolmogorov-Smirnov test before comparing variables between groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com