The condition that must be met in order to make a statistical inference about a population based on a sample if the sample does not come from a normally distributed population is n greater-than-or-equal-to 30. When the sample size is larger than 30, the central limit theorem states that the sampling distribution of the sample mean becomes approximately normal, regardless of the shape of the population distribution. This allows for valid statistical inference to be made about the population based on the sample.