2.8. Statistical Analysis
For detecting even minor effects, the required sample sizes used in this experiment were identified using statistical power analysis. The sample sizes necessary for a power of 0.80 were estimated using NCSS software. The Kolmogorov Smirnov test was used to determine if the data conformed to a normal distribution. While Kruskal Wallis H test and Mann Whitney U test are used in some analysis of data (ECHO and biochemical analysis in serum); Tukey’s test was applied after the intergroup ANOVA, since the other data analyzes (the animal weight, mean BP, ECG measurements and LC-MS/MS analysis) conformed to normal distribution. Test results after normal distribution are presented as mean±standard deviation (SD). Non-parametric test results are presented as median (min-max). Pearson chi-square test with exact approach was used to analyze categorical variables. A p -value less than 0.05 is statistically significant. IBM Statistical Package for the Social Sciences version 24.0 for Windows was used for analysis.