DASC 534 - Advanced Statistical Methods I

3 Credit Hours
3 Lecture Hours
0 Laboratory Hours

Topics include two population inferential statistics (estimation and hypothesis testing), multinomial experiments/goodness-of-fit tests, contingency tables, analysis of variance (one-way and two-way), multivariable linear and single variable-nonlinear regression, inferences about the correlation coefficient and slope of the regression line, special probability distributions (e.g., Poisson, Exponential, and Gamma), and an introduction to nonparametric statistics. Real data and statistical packages will be used extensively in this course.

Prerequisites:

Admission to graduate program; STAT 374 .