Statistics 102H: Project 2
Statistics 102H: Project 2
In this project you will work in groups of 2 or 3 people. You will
design an experiment, collect and analyse the data and write
up a report. I'm expecting most groups to do surveys of their fellow
students. (Undergraduates are the single most surveyed group in the
world!) If you want to go very far from the survey approach, talk to
me to soon for permission.
Sample ideas:
- Study wording of a question. A famous example was: "Do you
concievable or inconcievable that the holocaust did not
occcur?" VS. the question: "Do you believe the holocaust
occured?"
- Study order of questions. Have two surveys with questions in
different orders.
- Will people give up a seat to a man or a woman more easilly?
(Milgrom did some studies of this nature.) Ask people for
their seat at a table or on a bus. What variables can you
control that might change the response.
- Taste tests: Coke vs Pepsi would be the classic one. Wine and
Cheese are ones that I have personally run many times. :-) One
issues here is order often
matters. So a careful design treating order as a design
variable can be very interesting.
- Be creative. What are decisions that you make while at Penn
that you could test to see what the right answer is?
Design (due April 2nd)
As you see from chapters 1 and 2, doing a randomized controlled
experiment will be much easier to analyse. But, it will be harder to
collect the data. Which design you choose will be up to you. But
you will have to justify your decision in your report.
Answer the following questions (you can submit via email if you like):
- Target comparison. What are you trying to learn?
- Do you have a control group? If so, what is it?
- Are you randomizing? If so, how?
- How will you collect your subjects?
- What is your target population?
- What is your sampled population?
- First draft of your survey. (Don't email word files. Just cut
and paste it into your email so that it comes in as ASCII.)
When I get it, I'll comment, and you can then start collecting data.
Data collection and analysis (due April 21st)
Generate the JMP output that your report will be based on. Write a
paragraph giving a technical description of your favorite model.
You can think of this as being the technical appendix of your final
writeup.
- Keep a copy yourself since you will want to base your final
write up on the output you turn in here.
- If you have any issues about what you should do in the data
analysis, put them on the cover sheet and I'll email you a
response.
- Don't worry about being neat. Feel free to annontate the
output by hand.
- My primary goal is to make sure you have a week of time to
focus on writting up your report. That is the most important
part.
Write up (due April 28st)
Write up your report.
- Your report should have the following format:
- Abstract: A one paragraph summary of what you set out to
learn, and what you ended up finding. It should
summarize the entire report. (limit: 100 words max)
- Introduction: A discussion of why you collected the
data. In other words, what you were trying to learn.
What have other people found in similar studies? What
theories are you trying to disprove?
- Methods: Describe HOW you did the experiment. I don't
need details. But, I do need enough details that if I
were to xerox this section and give it to a group of 3
other students, they could reproduce your study. The
goal is that they should be able to reproduce it
accurately enought that they get the same results that
you get.
- Results: Describe what you found. This is the only
statistical part of the report. :-)
- Conclusions: Tell me what were your scientific
conclusions. What did we learn about the real world?
What are the regularities that we would expect to find
in future studies?
- Bibliography: Any paper you have cited should be listed
here.
- Appendix: (optional) Other information that isn't important enough
to go in the body of the report but that you are
unwilling to throw away. This might be the survey form
you used. Or it might be some other statistical graphs
and tables that you didn't include.
- Figures: Any figures / tables you include should have a
caption that is very descriptive of what the reader should
learn. There shouldn't be any need to read the paper to
understand the figure. If you can't think of a decient
caption, then the figure should be cut from the
report.
- Statistical jargon: The point of this write up is to
communicate the science of the problem NOT the statistics. So
avoid statistical jargon as much as possible.
- Length: As short as possible! Of course, you have to
communicate the information in each section.
Last modified: Wed Apr 16 07:44:45 2003