Normal sample sum with known variance
= Normal sample sum with known variance
For independent observations $X_i\sim N(\mu,\sigma^2)$ with known variance, $\sum_iX_i$ is minimal sufficient for $\mu$. Factorization proves sufficiency, while the likelihood ratio for two samples is independent of $\mu$ exactly when their sums agree.