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After checking for normality assumption the mean and standard deviation were used to express normally distributed data (such as age of the patients) and median with interquartile range were used for nonnormally distributed data (such as tumor size and follow-up).
After checking for normality (Kolmogorov Smirnov test) and homogeneity of variance (Levene test), a paired t test was applied to compare means of diameter growth (DG) in wounded and unwounded trees.
After checking for normality and homoscedasticity, significant differences among the treatments were determined according to the Duncan's multiple range test.
After checking for normality using the Kolomogorov-Smirnove test, BNP and NT-proBNP values were log transformed.
Non-parametric tests were used after checking for normality and independence of the data by Kolmogorov-Smirnov test and graphic assessment.
After checking for normality of the distributions, the Pearson correlation was used to measure the concomitant validity of the DBMA-Fv compared to the CIRS.
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The data were checked for normality using normal probability plots and the Kolmogorov-Smirnov test.
The residuals from all models were checked for normality using a normal plot.
The regression model was checked for normality of residuals and displayed a normal distribution.
Data were checked for normality by descriptive statistics and histograms with normal distribution curves.
Data were checked for normality before analysis using descriptive statistics and histograms with normal distribution curves.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com