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this question is solved as st(1) is Sufficient and answer A not E.
I am using this opportunity to answer your query as well as to respond to my favorite expert at BTG, Ron Purewal who has put E as an answer in the threads below with his proof of solution
1) https://www.manhattangmat.com/forums/the ... t8472.html
2) https://www.manhattangmat.com/forums/pos ... tml#p24047
Ron, because we are dealing with stats and the data dispersed in the given sets S and T, we need to account for the measurement or an absolute value, i.e. mode
If one accounts for a variation amongst the represented data, then the issues is easily solved by squaring the difference(s) between mean and the data value(s). Here, nevertheless we have to consider only absolute values of each integer - their distance(s) from 0 on both sides (LHS and RHS of 0) of the number line. Otherwise we end with meaningless for statistics values of negative and positive integers canceling each other and having no variation as such. This is simply not true. Whenever, we see the stats parameters like mean, median or st.deviation the assumption made is all numbers are brought to their absolute values, i.e. +ve in sign or we need to bring down the values to their absolute values by ourselves.
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