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Two Way Analyses of Variance were used in the case of normal distributions.
Pearson's r will be used in the case of normal distributions, and Spearman's rho for non-normal distributions.
Between group differences and 95% confidence intervals will be calculated, and tested using the Student t-test in case of normal distributions.
Quantitative variables will be described according to their measures of central tendency, mean, and confidence intervals in the case of normal distributions, and by their median and interquartile range in the case of non-normal distributions.
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Normal distribution of the data was tested using Shapiro-Wilk-test, and data were compared in case of normal distribution with the t-test or in the case of not normally distributed data with the nonparametric Mann–Whitney-U-test.
In case of normal distribution, we used a paired T test to check for statistical significant improvement.
In the case of normal distribution and homogeneity of variance, differences at the upper and lower tails of the distribution may logically be inferred from the mean difference.
In the case of normal distribution, an independent samples t-test was used to define the two-sided probability of statistical significance.
In case of normal distribution, the extent of pre- to post-treatment difference in cognitive status was assessed by applying t-tests for dependent samples.
In the case of normal distribution, values are presented as mean (SD) and 95% CI.
Data were expressed as mean ± SD in case of normal distribution.
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CEO of Professional Science Editing for Scientists @ prosciediting.com