help me and answer my question please

I'd go with number 1. (Note that numbers 2 and three are exactly the same since standard deviation is just the square root of variance.) The reason mean and median vary so much is that the distribution is skewed. Seeing the 90th percentiles will show you if it is skewed by outliers or if the entire distribution is skewed.

thanx

I'd go with 5)

You know that the distribution of at least one of the TATs is skewed, but you don't know which one (both?). Comparing the two distributions can be done by applying Chebyshev's rule (at least 75% of the data will fall within +/- 2SD of the mean ) and then use Fisher's Rule of Two (Fisher imposed a Rule of Two: if a result departs from an assumed hypothesis by two or more standard deviations of its own sampling variation, regardless of the size of the prize and the expected cost of going for it, then it is to be called a "significant" scientific finding. If not, not. Fisher told the subjectivity-phobic sciences that if they wanted to raise their studies "to the rank of sciences" they must employ his Rule. He later urged them to ignore the size-matters/how-much approaches of Gosset, Neyman, Egon Pearson, Wald, Jeffreys, Deming, Shewhart, and Savage. Most statistical scientists listened to Fisher.) reference