Sample distribution refers to the distribution of a variable within a single sample from a population, while sampling distribution refers to the distribution of a statistic calculated from multiple hypothetical samples from the same population. Specifically, the sampling distribution is the distribution of sample means that would be obtained by taking many samples of the same size from a population, and its shape approaches normal as sample size increases regardless of the population distribution.