PLEASE HELP, pick up a correct answer

In a Randomized Controlled Trial, the continuous outcome variable was highly skewed. To investigate whether the average values of this variable are I signicantly between treatment and control groups and the difference is not due to chance alone, what should be the suitable approach? Selected Answer: Carry out data transformation (into natural log or other options) and then use Pearson's Chi Squared test. Answers: Carry out data transformation (into natural log or other options) and then use One Sample t test. Carry out data transformation (into natural log or other options) and then conduct Independent Samples t Test. This outcome variable is of no good use; either choose another variable or conduct the RCT once again. Carry out data transformation (into natural log or other options) and then use Pearson's Chi Squared test. No need to worry about data transformationjust carry out the Independent Samples tTest and hope for the best. When comparing two independent groups using Independent Samples t test, the assumption of 'equal variance or homogeneity of variance' is NOT violated if: Selected Answer: p value for Levene's test is <.05 answers: p value for one sample t test is>.05 p value for Levene's test is <.05 p value for shapiro-wilk test is independent samples t>.05 p value for Shapiro-Wilk's test is >.05 p value for Levene's test is >.05When we conduct Independent Samples t test to compare two separate/independent groups, in order to assess whether the difference between two means is meaningful, what should we calculate? please choose one option. Selected Answer: Pearson's correlation coefficient Answers: Pearson's correlation coefficient Odds ratio Cohen's d Risk ratio None of the provided options