Instructor 
Orlando Merino, merino@math.uri.edu, 8744442,
Tyler Hall 220 
Term 
Spring 2007 
Text 
Introduction to Mathematical Statistics,
by R. J. Larsen and M. L. Marx, 4th Edition. 
Topics 
Most of chapters 512 of the textbook: Estimation Theory, Maximum Likelihood, CramerRao bounds, Hypothesis testing, Type I and Type II errors, point estimates for normal distribution, confidence intervals, chi^2, F, t distributions, Types of data, two sample problems, Regression, analysis of variance. 
Evaluation 
Weekly homework (25%), quizzes (25%), one midterm
exam (25 %), a comprehensive final exam (25 %) Note: 75% of the final exam will be on sections discussed after the midterm. Date of Midterm Exam: March 15. 
On the course 
MTH 452 is an introduction
to the mathematics of statistical analysis. It assumes that
you have had a course in probability equivalent to MTH 451.
You will learn the theoretical basis for statistics and the most
important examples of how the fundamental ideas give rise to
practical statistical methods. While we will work with data on occasion,
the main emphasis will be on the underlying mathematics, with
an eye toward understanding the rationale for statistical methods
whether they are used in the social sciences, physical sciences,
or engineering. Since most statistical methods are based on ideas
from probability theory, we will make a lot of use of your knowledge
of probability. This course also provides substantial preparation for actuarial science and the actuarial exams. More information on this will be provided upon request. 
Homework Information 
