Your English writing platform
Discover LudwigExact(14)
After normality testing of descriptive statistics, normally distributed variables were reported as means with standard deviations (SDs) and compared with the Student t test.
Choice of parametric or non-parametric test was done after normality Kolmogorov-Smirnov test to assess whether groups met normal distribution.
After normality was confirmed, Student's t-test or Analysis of Variance was used to compare continuous variables.
Mean and standard deviations (SDs) were estimated for all continuous variables, after normality checks.
Continuous variables were expressed as the mean ± standard deviation and compared by using a Student t test after normality testing.
In particular, 1000 permutations were performed and p values were calculated after normality assessment through the Shapiro-Wilk Test.
Similar(46)
After checking normality and homogeneity, the data with normal distribution and homogenous variances were analysed using one-way analysis of variance (ANOVA) with post hoc (least significant difference) test to determine the significance of the difference between groups.
After checking normality and homogeneity, the data with normal distribution and homogenous variances were analysed using one-way analysis of variance (ANOVA) to determine the significance of the difference between groups.
For comparisons of continuous variables between groups, the t-test was used and for comparisons between more than two groups, one-way analysis of variance was used after assuring normality and homogeneity of variances assumptions were satisfied.
The difference between means was tested with a non-paired Student's t-test after testing normality of distribution and equality in variances with Graph Pad Prism 4.02 for Windows.
Student's t-test for paired data was used to assess the mean changes from baseline of activation markers, lymphocytic phenotypes and cell viability, after controlling normality assumption of variables distribution (Saphiro-wilk test).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com