MATH4480 course description: Although statistical methods have become the analytical methods of choice in areas as diverse as biomedical and environmental sciences, geophysics, education, psychology, sociology, political science, physics, astronomy, and communications, they are often misunderstood and misused.
In this course we will study intermediate statistics from several viewpoints, including classical methods, graphical methods, and modern computer-intensive methods. The multiple approach to learning should give you a deeper understanding and appreciation for the field of statistics. Applications will be emphasized throughout the course.
MATH4480 is the third course in a mathematical statistics sequence. You should be familiar with probability distributions (such as the binomial, Poisson and normal distributions), data summaries (such as the sample mean, sample variance, sample median), point and interval estimation methods (such as constructing a confidence interval for the variance of a normal distribution), the central limit theorem, maximum likelihood and likelihood ratio methods, and computer solutions.