A hospital has established
a goal to improve hospital stay conditions and is accepting input
from various stakeholders on their ideal vision of “What is
a good hospital stay?”
Adopt a perspective,
for example, a patient, a clinician, an administrator, and refine
the question to one that can be answered using data.
Identify variables that
can be collected to address the research question. For each variable
state its measurement level and JMP modeling type.
Search the Internet
for data sources on mortality from firearms. Discuss potential biases
that may be present from each data source. Which data source would
you recommend using and why?
Develop a research question
on a topic of your choice.
Find a data source that
has an accompanying codebook.
Identify the data elements
that correspond to the response and predictors of your research question.
Critically evaluate
the codebook and any other associated documents. Are the data definitions
clear and complete? Is there sufficient background information to
understand the data’s pedigree?
Conduct a basic descriptive
analysis of your chosen variables using both visualizations and descriptive
statistics.
Create a JMP data table
that has one column named “Zip Code.” Enter the zip
code 02135 (Boston, MA).
What is the correct
measurement level for a zip code?
Change the JMP data
and modeling types and notice the effect. What are the correct JMP
data and modeling types for a zip code?
What are the consequences
of using an incorrect data or modeling type in a statistical analysis
or when visualizing data?
Search the print and
digital media to find examples of effective and ineffective data presentation.
For each example identify the following.
Who is the intended
audience?
What about the data
presentation effectively communicates to the audience?
What about the data
presentation could be improved?