Statistics Courses
At the end of each course title is listed the typical sememsters the course is offered: Fall (I), Spring (II), Summer (S), or on demand (D).
2013 Introduction to Statistics for Psychologists (I, II, S)
Introduction to the descriptive and inferential statistics commonly used by psychologists (same as PSYC 2013).
Prerequisite: PSYC 2003.
2020L Biostatistics Laboratory (II)
Computer lab.
Corequisite: STAT 2023.
2023 Biostatistics (II)
An introductory course in biostatistics emphasizing methods for collecting, graphing, and understanding data. Special emphasis is placed upon available methods for both exploratory and confirmatory data analysis. Particular attention is given to statistical methods for data sets with discrete variables.
Prerequisite: MATH 2554.
2303 Principles of Statistics (I, II)
A problem-oriented course with applications from many fields. Emphasis on understanding the nature of statistical orderliness implied by probability laws Statistical analysis is treated as a means of decision making in the face of uncertainty.
3013 Introduction to Probability and Statistics (I, II, S)
A calculus-based introduction to the foundations of probability and statistics. Emphasis is placed upon understanding elementary properties of probabilities, events, statistical densities and distributions. properties of random variables, law of large numbers, and their relationship to sampling and statistical inference.
Prerequisite: MATH 2564.
3303 Social Statistics (I)
An introduction to descriptive and inferential statistics with special emphasis on those techniques most commonly used in social research (same as SOCI 3303).
Prerequisite: SOCI 2013.
3603 Scope and Methods of Political Science (I, II)
The basic principles and assumptions of political inquiry (methodology) and research techniques for gathering and analyzing data about political phenomena. (Same as PLSC 3603).
Prerequisite: PLSC 2003.
4001L Statistics Laboratory (I, II)
Emphasis on use of integrated statistical packages to complement statistical methodology being covered concurrently in STAT 4003.
Corequisite: STAT 4003.
4003 Statistical Methods (D)
Concepts of probability, sampling, regression, and experimental design.
Prerequisite: MATH 1203 or consent of instructor.
Corequisite: STAT 4001L.
4033 Nonparametric Statistical Methods (D)
Chi square tests, KolmogGrov-Smirnov goodness-of-fit tests, the Mann-Whitney and Wilcoxon two-sample tests, and various nonparametric measures of association.
Prerequisite: MATH 1203 and junior standing.
4043 Sampling Techniques (D)
Considers optimum techniques of simple random, stratified random, cluster, systematic and multistage sampling from finite populations subject to cost precision constraints. Wide range of application.
Prerequisite: STAT 4003.
4373 Experimental Design (II)
Topics in the design and analysis of planned experiments, including randomized block, Latin square, split plot, and BIB designs, use of fractional factorial replication, and repeated measures.
Prerequisite: STAT 4003.