Statistics Project 1
I. Students could do statistical analysis on real data they have obtained through work, a
hobby, a research interest, or an idea/project from another class. Ideally, this analysis
should lend itself to either regression or hypothesis testing. What you are looking
for in your data is either a number of predictor variables or some sort of comparison
you would like to make. For example, if you were interested in trying to predict your
chance of lung disease based on smoking 2, 10 or 20 cigarettes I day. The number of
cigarettes per day would be a predictor variable and the chance of developing lung
disease is the outcome. **Do not attempt this particular experiment for the sole
purpose of fulfilling the requirement for this class.
' a. The format of such a project would include several sections including the
Purpose or problem statement: a history/background of what you are
investigating; Procedure: how you collected your data and what you intend to
do with it. Sample calculations or data analysis: This may include the data
di splay techniques we covered in chapters 2 & 3, a regression equation,(! can
give you a walk through in excel so you can get an idea of what to look at) or test
of hypothesis, and finally, conclusions: this section should include your
conclusions and error analysis- "what could have gone better?" If feasible, you
should include your data with the project or a source where you obtained it. This
type of project should be about 3 pages in length .
II. Alternatively, students could do a report on a topic in probability or statistics that
interests them. Topics include (but not limited to) computer generated random
numbers, computer simulations, normal probability curve, survey design/analysis,
Baysian probabilities/methods, random walks/Brownian motion, ANOV A, other
probability distributions (beta, chi square, F, Weibell, or Cauchy), quality control
methods, or Non-parametric statistics.
a. The fonnat of this sort of project would include several sections including the
topic, a history of the problem - who invented it, why, how is it used, what are
assumptions of use, what are drawbacks of use, etc. You should include a sample
problem (this can be from a text book or joumal article or one you've fabricated)
include anything further of note- methods, new applications, other methods that
solve similar problems, etc.
b. A written project should be 3-7 pages in length. You are encouraged to provide
graphs and diagrams with your report, so I don't think length will be an issue.
Include sources if applicable. You should learn appropriate formats for citing
sources. At am inimum, you should state the author, title, and type of publication
(book, joumal, website, etc). If you want practice using a specific documentation
style: CBE (Council of Biology Editors) for example, but you are free to use any
that you are comfo1iable with or want practice with.
Note.· Historically, students who have chosen a type of project described in
paragraph I have scored better than those that chose one from paragraph IL but I
suspect that students that chose option A were more familiar with their subject
(since they performed the experiment).
|Due By (Pacific Time)||12/07/2012 09:51 pm|
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