Mathematics, 21.09.2020 02:01 wavy419

Let Wr = sum i=1 to m (Ri), Ws = sum i=1 to n (Si). Then, under the asssumption that the X's and Y's have the same continuous distribution function, prove that E(Wr) = $\frac{m(N+1)}{2}$ , E(Wx) = $\frac{n(N+1)}{2}$

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Let Wr = sum i=1 to m (Ri), Ws = sum i=1 to n (Si). Then, under the asssumption that the X's and Y's have the same continuous distribution function, prove that E(Wr) = , E(Wx) =

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Let Wr = sum i=1 to m (Ri), Ws = sum i=1 to n (Si). Then, under the asssumption that the X's and Y's have the same continuous distribution function, prove that E(Wr) = $\frac{m(N+1)}{2}$ , E(Wx) = $\frac{n(N+1)}{2}$