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Consider how different distributions might affect the different graphs. How might other variables affect the graphs? How could graphs be made to be biased? If a graph were biased, how might you change it to guard against that bias? here is the follow up post to base this discussion off of: For each data set I would organize by using a frequency table. This will provide a structured approach to creating the graphs and help ensure no data is lost or overlooked because of a mess of values. For the first set of data I would use a bar graph. I would categorize the data by body part injured. These categories justify the use of a bar graph. bar graphs are constructed to provide a visual display of the counts of nominal or ordinal data. (Humphrey, et al, 2020) The y-axis would represent the number of patients and the x-axis would list the injuries. For the second set of data I would use a histogram graph. This data set is dealing strictly with numbers. Histogram Graph: Graph best used with quantitative, usually continuous data. (Chamberlain, 2020) I would interview each patient to determine the amount of time spent in the waiting room. The y-axis would represent the number of patients and the x-axis would have the time spent in the waiting room. I would display the time in 5-minute intervals. Humphrey, P., Taylor, S., & Cage, K. (n.d.). Developing Consistency in the Terminology and Display of Bar Graphs and Histograms. Retrieved July 14, 2020, from https://web-a-ebscohost-com.chamberlainuniversity.idm.oclc.org/ehost/detail/detail?vid=4 Chamberlain University College of Nursing (2020). Week 2 Lesson: Introduction to Statistics: Graphing and Describing Data. Chamberlain University College of Nursing. https://chamberlain.instructure.com accessed on July 14, 2020.