Research Sample Size
Sometimes part of being a data scientist requires that you actually do act like a "scientist" (obviously). In this post, we're going to have a look at a "not-so" popular subject of determining the right sample size that allows you to make a proper conclusion with respect to the population that you're interested in. More often than not, people usually assume that a sample size needs to bear some proportional relationship to the size of the population from which it is drawn. This not necessarily be the case. Rather, at some point, having more samples need not mean a greater accuracy in doing your analysis. What this means is, you really don't need to gather as much samples as possible in order to come up with a reasonable conclusion that can be applied to the population at large. The absolute size of a sample is much more important. The size is pretty much dependent on the variation in the population parameters under study and the amount of e...