Course Exams
Note: More information will be added as the exam dates near
Midterm Exam: Fri Mar 16, in class
The first exam will cover Chapters 5 and 6 of the text, and the
Notes on the Cramer-Rao Inequality.
In particular, you should able to do the following:
- State basic definitions and theorems
- Know how to interpret statistical statements (e.g., know what statistical
significance and confidence intervals mean)
- Be familiar with Bernoulli, binomial, Poisson, geometric, uniform,
exponential and normal distributions, as well as order statistics
- Find estimators based on maximum likelihood, the method of moments
and Bayesian estimation
- Determine if an estimator is unbiased, efficient, sufficient or consistent,
and be able to construct estimators with these properties
- Compute the information number of a parameter and efficiency of an estimator
- Find confidence intervals and choose sample sizes (for normal or
binomial distributions)
- Given a prior distribution and an estimator, find the posterior distribution
- Test a hypothesis against a given level of significance, and determine
the power of a hypothesis test (for normal or binomial distributions)
Final Exam: Wed May 9, 4:30-6:30pm
The final exam will cover Chapters 5, 6, 7, 9, 10 and 11
(up to and including 11.3). It will be open book and you are free to use
a calculator. I will not hold scheduled office hours during finals week,
but if you have questions, please email me to set up an appointment.