# Maximum likelihood estimator of binominal distribution

 P: 192 $$L(x_1,...,x_n;p)=\Pi_{i=1}^{n}(\stackrel{n}{x_i}) p^{x_i}(1-p)^{n-x_i}$$ Correct so far? The solution tells me to skip the $$\Pi$$: $$L(x_1,...,x_n;p)=(\stackrel{n}{x}) p^{x}(1-p)^{n-x}$$ This is contradictory to all the examples in my book. Why?