Random sampling is a process of selecting subjects who are representative of the population being studied (Grove, 2011). Random sampling is done to increase the extent to which the sample is representative of the target population. Random sampling must take place in an accessible population that is representative of that target population. Statistics uses random samples for a number of reasons and are important. One role of randomness eliminates bias in research studies. The probability theory gives us many of our results in statistics. Probability assumes that random processes are at work (Taylor, 2014). We must use samples that can be treated as random variables in order for our statistical results to be valid (Taylor, 2014). One limitation to a random sample study in...