As we increase the sample size, the variability of the x bar distribution will follow a normal distribution (i.e. bell shape curve). The more independent random variables we add to the population, the more it will correspond or approach to the population mean (proximity) thereby clustering the distribution towards the center (mean). This is the essence of central limit theorem.