F_n(x) is the average of iid indicators 1_(X_i≤x), so the strong law gives almost-sure convergence to F(x), proving **C**. For 0<F(x)<1, the CLT has √n scaling and nonzero limiting variance F(x)(1−F(x)). Also nVar(F_n)=F(x)(1−F(x)), generally nonzero. Endpoint CDF values do not invalidate C.
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