Initial Post Instructions

Suppose that you have two sets of data to work with. 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?

SOLUTION 

A clinic should always have sufficient inventory of medical supplies to treat patients.  I would create a frequency table to organize the data set that consist of all the injuries that were seen in a clinic in a month’s time.  Holmes et al., (2017) explains that a frequency table is a very useful way to organize data.  A frequency table can show data such as the most common injury or least common injury.  With this information, a clinic can forecast their budget to order enough supplies for the common injuries in subsequent months.  Relative and cumulative frequencies both use percentages (Holmes et al., 2017) which may not be the ideal information to have in this situation because it will not show total number of injuries/patients they actually see; for example, there can be 25% broken bone injuries but it could be 1 out of 4 patients or 10 out of 40 patients.……….please click the icon below to purchase full solution at $10