In
this case study we would like to determine if there has been a significant
change in the number of veterans waiting from 31-60 days for an appointment
in the southeastern part of the United States from May 1, 2015 to
May 1, 2016?
The three questions
below will guide the selection of appropriate methods.
-
What is the response
(Y) of interest and how is it measured? We are interested in understanding
the change in the appointment backlogs from May 1, 2015 to May 1,
2016. The column Backlog Difference contains this change. It is
a continuous variable.
-
Are predictor variables
mentioned in the problem statement? If so, how many and what are
their measurement levels? The research question asks if there has
been a change in the backlog over a year. The predictor is time,
a nominal variable, measured at two points in time.
-
What are you being asked
to deliver? A data description, an interval estimate, an answer to
a question, or a predictive model? We are being asked to answer a
question regarding the change in backlog over a year. A test of hypothesis
will establish if the average change in backlog is statistically significant.