*Statistical Methods for Life and Health Sciences*

- (Project
_2_1) You should collect a raw data set from your field of study/research. Follow the guidelines we have discussed in class to make sure your design is appropriate (e.g., controlled, randomized, blinded, large-sample-size(s), etc.). Identify a parameter of interest for the population you are studying (e.g., population mean) and construct a data-driven estimate of a 95% confidence interval for this parameter. What is an unbiased estimate of the parameter of interest? What is its precision? [In a case you do not have a ready access to a proper dataset, here I have several datasets you may consider for this project. I do recommend you first try to dig out data from your specific area of interest, though. Talk to colleagues, mentors, established investigators, etc.] Can you identify a distribution, from the ones we presented in class, that is a reasonable fit for your data? Perhaps, there is a distribution we did not identify in class, which other people have labeled and used in other situations that may better describe your data. What is it?

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Ivo D. Dinov, Ph.D., Departments of Statistics and Neurology, UCLA School of Medicine