STAT 13

(Sec. 1a-1c)

Introduction to Statistical Methods for the Life and Health Sciences

Instructor: Ivo Dinov, Asst. Prof.

Departments of Statistics & Neurology

Due Date:

Friday, Mar. 14, 2003, turn in after lecture

See the HW submission rules. On the front page include the following header.

• (HW_7_1) You have to gather, analyze and present the data, the results and the conclusions that follow from your study. It is completely up to you to come up with an interesting project that you need to complete by the deadline. Here are the basic requirements your project must satisfy:
• Please submit your project nicely typeset, including text/tables/graphs, in the form according to our HW assignment policies. No hand-written reports will be graded.
• Examples of projects could be (but are not restricted to):
• Investigate the change of the level of various disinfectants, by-products, contaminants, chemicals, micro-organisms, pesticides, radioactive contaminants or other substances which may be added or naturally occurring in H2O, across the years (say 1996-2001) in our tap drinking water.
• Study the dynamics of the human populations for the past 100 years. Make predictions for the future.
• Analyze the prevalence or gender preference of one particular type of cancer.
• Study the effects of over fishing.
• Crime rates, geographic distributions, severity.
• Education changes in the past decade.
• Stock market volatility.
• Examples of online resources containing interesting data:
• Format: Include the regular HW project cover page. Start with a one paragraph abstract, followed by an intro/background of the problem, methods, results, discussion/conclusion and acknowledgements/references. Clearly state the problem you have chosen to investigate. List the resources you used to come up with the project and reference all sources you used to complete the project.
• Clearly state your hypotheses, prior to interrogating the data.
• Use statistical techniques from the list of techniques we have discussed in Stat 13 to convey whether or not there is statistical evidence in support of your original hypotheses (e.g., normal approximation, confidence intervals, hypothesis testing, linear regression, analysis of variance, goodness-of-fit, etc.).
• Interpret your statistical (numerical) results in a lay back language. Write conclusions and discussions at the end of your report and acknowledge outside help. Describe how this project can be extended in the future.
• One or two people can work on a project as a team. If two work together both must have equally contributed for the completion and submit separate copies of the project, with their names on top (the names of both students should be on both papers).