Question

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?

Answer 1

Answer:-

Given that:-

For the first dataset:

Diseases	Frequency	Relative Frequency
Disease from T.B	15	0.19
Cardiac Arrest	25	0.32
Asthama	18	0.23
Dengue	21	0.27
Total	79

Now you can draw any graph such as pie chart or histogram with the help of freq. and relative freq.

If histogram, on X-axis put Diseases and on Y-axis put frequencies.

For second data set,

Take any example such as waiting time for form-filing and average waiting time in queue to meet consultant and then we can draw bar graph for that where X-axis would be avg. waiting time and Y-axis Time taken by consultant.

Or we can both take together, such as,

Taking Diseases column seprate and avg. waiting time to consult for that particular disease and then obtain the cumulative frequency from the given frequency and we can graphically show it by using less than and more than ogive.