Applied Statistics - Project 2
Project motivation:
By now you should have aquired most of the basic statistical skills
needed for analysing data. However, only through practice will you
become proficient in doing so, and since this is a course on applied
statistics, why not go ahead and try? There is plenty of data out
there, and hardly any substitute for the real thing, so through
yourself at it.
Project format:
Generally, you are free to do as you please. The only "formal"
requirement is that you consider real data and make a hypothesis
test, and even these requirements can be relaxed, if you make a good
case! The final result should include two things:
- A report in article format
Your report should be very short (about 3 pages), explaining how you
obtained the data, how you analysed it, and what your conclusions
were.
- A presentation in slide format
On Tuesday the 25th your group should give a 7 minute presentation of
your work. Afterwards there will be 3 minutes of questions, and the
other groups will give you feedback.
Project examples:
Your own data! This is by far the best choice.
Measuring the speed of a car using the Doppler effect.
Searching for slow particles in ATLAS.
          
Data is given in two formats (text files and ROOT Ntuples) here:
          
600 GeV R-hadrons:
Rhad_600GeV.txt and
Rhad_600GeV.root.
          
Zmumu (simulation):
Zmumu_MC.txt and
Zmumu_MC.root.
          
Zmumu (data):
Zmumu_data.txt and
Zmumu_data.root.
Data from UC Irvine.
Data from UCLA.
Data from Columbia.
Collecting your own data.
Project Latex template:
The project should be written in Physical Review Letter style (or
something close to it, if you don't like Latex), and below you can
find the files needed (works with pdftex as well, except for the
figures, which needs to be converted into .pdf or .png):
PRL Latex template.
Test figure 1.
Test figure 2 (wide).
Result using current template.
Comments:
Enjoy, have fun, and throw yourself without worries at the data.
Last updated 8th of October 2011.