Students are expected to perform computer statistical analyses of data relevant to their respective fields of study. Calculus, linear algebra, and probability results required for the pursuit of an advanced degree in statistics or a related field. Course in probability with applications in computer science, engineering, operations research, and statistics. Random variables and expectation, conditional expectation, random vectors, special distributions, limit theorems, and simulation are covered. Application of basic statistical techniques.
Normal theory is introduced first with discussion of what happens when assumptions break down.
Alternative robust and nonparametric techniques are presented. STAT 354 or 554. Design and implementation of sample surveys. Practical problems encountered in conducting a survey are discussed. Methods are applied to case studies of actual surveys.