Size and selection matters:

You get a free sample in the mail of a new hand lotion. The company advertises that the product is a miracle cure for crack, weathered hands. The reading material suggests that after three applications, you will see a remarkable difference. You open the package to find only a drop of the product. It is not enough for even one application. If the sample size were large enough for one application, you might be able to infer that three applications would produce the advertised results. However, it is hard to estimate the results when the sample is so small. Also, wouldn't you get different results if your hands were never cracked or weathered? The same can be said of statistical data. The sample of data used to predict an outcome matters. Give an example of inferential statistics in healthcare (i.e., drug trials or testing on animals) and how the selection of the sample group can skew the data and what is inferred. Use the article:Basic Inferenial Statistics: Theory and Application found at the Purdue Online Writing Lab(Links to an external site.) to support your opinions and cite the article.