STATISTICS (STAT)
James E. Dunn, Chairman of Studies, SCEN 343, 575-5049
PROFESSORS McNEW, TUBBS; ASSOCIATE PROFESSORS GBUR, MAUROMOUSTAKOS, MEAUX; RESEARCH ASSOCIATE DUNCAN, THOMPSON
Requirements for a Minor in Statistics: MATH 2554 and 12 hours of non-cross-listed courses, including 9 hours in courses numbered 3000 and above. A student must notify the Department of Mathematical Sciences of his or her intent to minor.
Courses: Statistics (STAT)
STAT2013 Introduction to Statistics for Psychologists (FA, SP, SU) Introduction to the descriptive and inferential statistics commonly such by psychologists. (Same as PSYC 2013) Prerequisite: PSYC 2003.
STAT2020L Biostatistics Laboratory (SP) Computer laboratory to accompany STAT 2023. Corequisite: STAT 2023.
STAT2023 Biostatistics (SP) 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. Co- or Prerequisite: MATH 2554. Corequisite: STAT 2020L.
STAT2303 Principles of Statistics (SP) 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.
STAT3013 Introduction to Probability and Statistics (FA, SP, SU) 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.
STAT3303 Social Data and Analysis (FA) 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.
STAT4001L Statistics Methods Laboratory (FA, SP) Emphasis on use of integrated statistical packages to complement statistical methodology being covered concurrently in STAT 4003. Corequisite: STAT 4003.
STAT4003 Statistical Methods (FA, SP) Concepts of probability, sampling, regression, and experimental design. Corequisite: STAT 4001L. Prerequisite: MATH 2554.
STAT4033 Nonparametric Statistical Methods (FA, SP, SU) Chi square tests. Kolmogorov-Smirnov goodness-of-fit tests, the Mann-Whitney and Wilcoxon 2-sampling tests, and various nonparametric measures of association. Prerequisite: MATH 1203 and junior standing.
STAT4043 Sampling Techniques (FA, SP, SU) 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.
STAT4373 Experimental Design (SP) 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.
STAT5103 Theory of Statistics (FA) Fundamentals of probability, distribution theory, and random variables; expected value, moments, and generating functions; classic parametric families of distributions; central limit theorems, inequalities, and laws of large numbers. Prerequisite: MATH 2574.
STAT5113 Statistical Inference (SP) Statistical theory of estimation and testing hypothesis. Prerequisite: STAT 5103.
STAT5133 Inferential Statistics for Psychology (FA) Inferential statistics, including representative parametric tests of significance. Special emphasis on analysis of variance, covariance, and component variance estimators as applied to psychological research. (Same as PSYC 5133) Prerequisite: STAT 2013 or PSYC 2013.
STAT5143 Advanced Descriptive Statistics for Psychology (SP) Special correlation techniques followed by a survey of representative nonparametric tests of significance. Major emphasis on advanced analysis of variance theory and designs. (Same as PSYC 5143) Prerequisite: PSYC 5133.
STAT5303 Probability Theory (IR) Probability spaces, distribution and characteristics functions, central limit theorems, conditional probability. Prerequisite: STAT 5103 and graduate standing.
STAT5313 Methods of Multivariate Analysis I (FA) Least squares and multiple regression analysis, canonical correlation, principal components analysis, and variations of modern factor analysis. Computer applications are emphasized. Prerequisite: (6 hours of statistics and MATH 2043) or equivalent.
STAT5322 Statistical Packages (FA, SP) Emphasis on use of digital computer to perform statistical data analysis through the use of integrated statistical packages. Instruction includes use of the SAS, SPSS, and BMD packages. Data management operations as well as formal statistical procedures such as ANOVA and regression are considered. Prerequisite: 3 hours of statistics.
STAT5333 Analysis of Categorical Responses (SP) A modern treatment, including extensions of classical probit analysis, multivariate logistic models, GSK model, loglinear models in analysis of multiway contingency tables, and nonmetric multidimensional scaling. Prerequisite: STAT 5313.
STAT5343 Stochastic Processes (FA, SP, SU) Markov chains, branching processes, birth-death processes, queuing theory with application. Prerequisite: STAT 5103.
STAT5353 Methods of Multivariate Analysis II (SP) Hotelling's T2 procedures, multivariate analysis of variance, discriminant function analysis and problems of classification, multidimensional scaling, and cluster analysis. Prerequisite: STAT 5313.
STAT5363 Linear Statistical Models (FA, SP, SU) Prerequisite: STAT 5313.
STAT5373 Analysis of Variance (FA, SP, SU) Emphasis is on efficient design of experiments when faced with experimental requirements of precision and economy. Topics include blocking and factorization of factorial experiments, response surface, balanced incomplete block, and partially balanced incomplete block designs, and designs for variance component estimation. Statistical analysis is considered in light of modern computer software. Prerequisite: STAT 4003.
STAT5383 Time Series Analysis (FA, SP, SU) Identification, estimation and forecasting of time series. Spectral analysis including the fast Fourier transform computational aspects are emphasized. Prerequisite: STAT 5103.
STAT610V Research in Statistics (1-4) (IR) Prerequisite: graduate standing.
STAT639V Topics in Statistics (1-3) (IR) Current state of the art on methodology in one of the topics: multivariate analysis, time series analysis, sequential analysis, factor analysis, or biostatistics. May be repeated.