Advanced Statistical Methods 
ADV STAT MTHDS 
CLASS CODE: 
MATH 422 
CREDITS:
3

DIVISION: 
PHYSICAL SCIENCE & ENGINEERING 
DEPARTMENT: 
MATHEMATICS 
GENERAL EDUCATION: 
This course does not fulfill a General Education requirement. 

CATALOG DESCRIPTION: 
Multiple linear regression and certain nonlinear regression models, one factor experiments, factorial experiments (two or more factors), nonparametric methods, statistical quality control, stochastic processes. (Winter) 
DESCRIPTION: 
In this course students will study advanced statistical methods, including: multiple linear regression, certain nonlinear regression models, one factor experiments, factorial experiments (two or more factors), nonparametric statistics, statistical quality control, and stochastic processes. Students will learn the basic underlying theory of these methods and some of their applications. 
TOPICS: 
Multiple Linear Regression; Estimating the Coefficients; Linear Regression Modeling Using Matrices; Properties of the Least Squares Estimators: Inferences in Multiple Linear Regression; Choice of a Fitted Model Through Hypothesis Testing; Categorical or Indicator Variables; Sequential Methods for Model Selection; Study of Residuals and Violation of Assumptions; Cross Validation and Other Criteria; Special Nonlinear Models for NonIdeal Conditions; Analysis of Variance Technique; The Strategy of Experimental Design; OneWay Analysis of Variance; Completely Randomized Design; Tests for the Equality of Several Variances; SingleDegreeofFreedom Comparisons; Multiple Comparisons; Comparing Treatment with a Control; Comparing a Set of Treatments in Blocks; Randomized Complete Block Designs; Graphical Methods and Further Diagnostics; Latin Squares; Random Effects Models; Power of Analysis of Variance Tests; Interaction and the TwoFactor Experiment; TwoFactor Analysis of Variance; Graphical Analysis in the TwoFactor Problem; Three Factor Experiments; Nonparametric Tests; Sign Test; SignedRank Test; RankSum Test; KruskalWallis Test; Runs Test; Tolerance Limits; Rank Correlation Coefficient; Nature of the Control Limits; Purposes of the Control Chart; Control Charts for Variables; Control Charts for Attributes; Cusum Control Charts. 
OBJECTIVES: 
In this course students will study advanced statistical methods, including: multiple linear regression, certain nonlinear regression models, one factor experiments, factorial experiments (two or more factors), nonparametric statistics, statistical quality control, and stochastic processes. Students will learn the basic underlying theory of these methods and some of their applications. 
REQUIREMENTS: 
Attendance is required. Students are required to purchase their own calculator. Homework, tests, and individual and group projects will be required. 
PREREQUISITES: 
Math 321 
OTHER: 

EFFECTIVE DATE: 
August 2003 