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Required Resources
Read/review the following resources for this activity:
Textbook: Chapter 2—Section 2.1–2.4 Links to an external site.
Lesson 2 Reading
Minimum of 1 scholarly source and one appropriate resource such as the textbook, math video, and/or math website
In your reference for this assignment, be sure to include both your text/class materials and your outside reading(s).
Initial Post Instructions
Suppose that you have two sets of data. The first set is a list of all the injuries that were seen in a clinic in a month’s time. The second set contains data on the number of minutes that each patient spent in the waiting room of a doctor’s office. You can make assumptions about other information or variables that are included in each data set.
For each data set, propose your idea of how best to represent the key information.
To organize your data, would you choose to use a frequency table, a cumulative frequency table, or a relative frequency table? Why?
What type of graph would you use to display the organized data from each frequency distribution? What would be shown on each of the axes for each graph?
Follow-up Post Instructions
Respond to at least one peer. Further the dialogue by providing more information and clarification.
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?
Writing Requirements
Minimum of 2 posts (1 initial & 1 follow-up)
APA format for in-text citations and list of references
Please write a response to this post:
For the first set which includes a list of all injuries that were seen in a clinic in a months’ time I would use a frequency table. A frequency table would be used because it provides a clear and organized method for summarizing data. It would be particularly useful for practitioners to help improve clinic operations. The type of graph that I would choose would be a bar chart. The bar chart consists of rectangular bars representing the frequency of each injury type. The height of the bar corresponds to the count of occurrences.
For the second set of data on the number of minutes each patient spent in the waiting room of a doctor’s office, I would use a cumulative frequency table. While this is similar to a frequency table, it adds a column for cumulative totals showing how many patients waited a certain number of minutes or less. This type of table helps quickly determine the total number of patents that waited up to a specific time. To display the data, I would choose a cumulative frequency curve. The graph is created by plotting points from the cumulative frequency table where the x axis represents the upper limits of the data intervals, and the y axis represents the cumulative frequency. This allows you to visualize how many patients waited less than or equal to a specific amount of time in the waiting room. It effectively conveys the distribution of waiting times and cumulative counts. Patients are aware that they should wait to see a doctor; however, there is no known acceptable ‘waiting’ or ‘consultation’ time (Ahmad, et al. 2017). By using data on wait times and injury frequencies, healthcare providers can make informed decisions that enhance efficiency, improve patient experiences and ultimately lead to better healthcare outcomes. This data driven approach fosters an environment of continuous improvement and allows practitioners to be proactive in patient care.
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