This chapter develops empirical likelihood inference through a nonparametric likelihood ratio function. The result is an approach using a parametric family that is a multinomial distribution on all n observed data values. The focus is on setting confidence intervals for the mean of a scalar random variable. Later chapters extend the approach to other tasks.