Sample Chart/Graph Paper (Marhar, 2011) The graph above is a bar graph. A bar graph is typically the easiest to visualize data quickly. A bar graph is characteristically used for qualitative information. The longer the bar is the higher the frequency of information for that bar. It is imperative to label clearly so that readers know what they are precisely looking at and do not have to make assumptions (Bennett, Briggs, & Triola, 2009). This graph depicts the strategies to prevent readmissions into the hospital. I do believe that this graph is an appropriate choice to depict the data used from the study. This is the best graph to use because it is easy to glance at the graph and retrieve the information. The spacing in the graph is portrayed evenly, the scale on the vertical axis is evenly spread out, and the graph is titled, which is extremely important. Another option to display this information could be a line graph. Although I believe this graph is the best type of graph to use, I do not believe that the graph was assembled as well as it could have been. The graph is confusing on that the axes are not labeled as well as they could be. For example, the vertical axis should be labeled “Percent of readmissions into the hospital” or “Percent of individuals who were not readmitted into the hospital”. I found that in the article the information was not very clear to depict what the graph was showing. There should be a caption underneath the graph to explain the details of the graph. The content of the paper should refer to the graph more and have the graph labeled for better use. For example, “Figure 1”, so that readers know where to turn to when the graph is referred in the context of the paper. I believe that the graph does not support the findings in the article. The article is not stating these findings on the graph as much as other factors that contribute to readmissions into the hospital. The article briefly discusses this material but does not fully explain the graph. The graph was taken from a different source and used in this article; thus the information is from a different study or survey. In conclusion, the graph represents the data fairly, even though there are some mistakes in the graph that could better explain contents of the graph. I believe that the article should have described the graph in a better sense so that readers could better understand it.

References
Bennett, J. O., Briggs, W. L., & Triola, M. F. (2009). Statistical Reasoning for Everyday Life (3rd ed.). Boston, MA: Pearsons Education.
Marhar, M. (2011, June). Keep the bar raised on reducing hospital readmissions. Retrieved from http://www.healthbeatblog.com/2011/06/keep-the-bar-raised-on-reducing-hospital-readmissions.html