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Using a Bar Graph
The team collects data over a period of five days by interviewing 100 users.
They gather data on waiting times at different points in the clinic: waiting
to register, waiting for the nurse, waiting for the doctor, and waiting for
the lab. The team creates a table with the results of their work:
| Event |
Registration |
Nurse |
Doctor |
Lab |
| Monday |
120 min. |
60 min. |
90 min. |
50 min. |
| Tuesday |
40 min. |
20 min. |
30 min. |
40 min. |
| Wednesday |
30 min. |
20 min. |
25 min. |
30 min. |
| Thursday |
40 min. |
15 min. |
30 min. |
40 min. |
| Friday |
80 min. |
50 min. |
80 min. |
50 min. |
Average
for
week |
62 min. |
30 min. |
50 min. |
40 min. |
Next, the team draws a bar graph using
the data they have collected so they can visualize the waiting time problem.
Looking at the bar graph, the team agrees that waiting time for registration
is the biggest problem. They decide to look more carefully into the
registration process to better describe the waiting time problem that occurs
during registration.
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Case Study
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