STA - Statistics

STA 551 Introduction to Probability

Events and probabilities (sample spaces), dependent and independent events, random variables and probability distribution, expectation, moment generating functions, multivariate normal distribution, sampling distributions.

3

Prerequisites

Grade of at least C in STA 290 and MAT 293 or permission of instructor

STA 552 Introduction to Mathematical Statistics

Point estimation, hypothesis testing, confidence intervals, correlation and regression, small sample distributions.

3

Prerequisites

Grade of at least C in STA 551 or permission of instructor

STA 562 Statistical Computing

Statistical methods requiring significant computing or specialized software. Simulation, randomization, bootstrap, Monte Carlo techniques; numerical optimization. Extensive computer programming involved. Extensive computer programming involved. This course does not cover the use of statistical software packages.

3

Prerequisites

STA 291 or STA 580 and knowledge of a scientific programming language

STA 565 Analysis of Survival Data

Methods for comparing time-to-event data, including parametric and nonparametric procedures for censored or truncated data, regression model diagnostics, group comparisons, and the use of relevant statistical computing packages.

3

Prerequisites

STA 291 or STA 352 or permission of instructor

STA 571 Statistical Methods for Research I

Introduction to statistical concepts. Basic probability, random variables, the binomial, normal and Student's t distributions, hypothesis tests, confidence intervals, chi-square tests, introduction to regression, and analysis of variance.

3

Corequisites

571L

STA 571L Statistical Methods Laboratory I

Using statistical software packages for data analysis. Problems parallel assignments in 571.

1

Corequisites

STA 571

STA 572 Statistical Methods for Research II

Statistical methodology in research and use of statistical software. Regression, confidence intervals, hypothesis testing, design and analysis of experiments, one- and two-factor analysis of variance, multiple comparisons, hypothesis tests.

3

Prerequisites

STA 571 and 571L or permission of instructor

Corequisites

572L

STA 572L Statistical Methods Laboratory II

Using statistical software packages for data analysis. Problems parallel assignments in 572.

1

Prerequisites

STA 571 and 571L or permission of instructor

Corequisites

STA 572

STA 573 Theory of Linear Regression

Linear regression, least squares, inference, hypothesis testing, matrix approach to multiple regression. Estimation, Gauss-Markov Theorem, confidence bounds, model testing, analysis of residuals, polynomial regression, indicator variables.

3

Prerequisites

Grade of at least C in STA 352 and MAT 310, or MAT 662, or permission of instructor

STA 574 Theory of the Analysis of Variance

Multivariate normal distribution, one-way analysis of variance, balanced and unbalanced two-way analysis of variance, empty cells, multiple comparisons, special designs, selected topics from random effects models.

3

Prerequisites

Grade of at least C in STA 573 or permission of instructor

STA 575 Nonparametric Statistics

Introduction to nonparametric statistical methods for the analysis of qualitative and rank data. Binomial test, sign test, tests based on ranks, nonparametric analysis of variance, nonparametric correlation and measures of association.

3

Prerequisites

Grade of at least C in STA 352 or STA 572 or STA 662, or permission of instructor

STA 580 Biostatistical Methods

Statistical methods for biological research including: descriptive statistics; probability distributions; parametric and nonparametric tests; ANOVA; regression; correlation; contingency table analysis.

3

Prerequisites

Grade of at least C in STA 271 or STA 290 or permission of instructor

STA 581 SAS System for Statistical Analysis

Creating, importing, and working with SAS data sets. Using SAS procedures for elementary statistical analysis, graphical displays, and report generation.

1

Prerequisites

STA 271, STA 290, or similar introductory statistics course

STA 589 Experimental Course

This number reserved for experimental courses. Refer to the Course Schedule for current offerings.

STA 593 Directed Study in Statistics

1–3

STA 594 Directed Study in Statistics

1–3

STA 651 Mathematical Statistics

Requisite mathematics; distribution and integration with respect to a distribution. Theory of random variable and probability distributions. Sampling distributions, statistical estimation, and tests of significance. Random processes. Numerical examples.

Prerequisites

STA 352 and either MAT 394 or MAT 395 or MAT 595

STA 652 Mathematical Statistics

Requisite mathematics; distribution and integration with respect to a distribution. Theory of random variable and probability distributions. Sampling distributions, statistical estimation, and tests of significance. Random processes. Numerical examples.

Prerequisites

STA 352 and either MAT 394 or MAT 395 or MAT 595

STA 661 Advanced Statistics in the Behavioral and Biological Sciences I

Statistical techniques and design considerations for controlled experiments and observational studies. Exploratory data analysis, elementary probability theory, principles of statistical inference, contingency tables, one-way ANOVA, bivariate regression and correlation.

3

Prerequisites

STA 271 or an equivalent introductory statistics course

STA 662 Advanced Statistics in the Behavioral and Biological Sciences II

Continuation of STA 661. Multiple regression and correlation, analysis of covariance, factorial ANOVAs, randomized block designs, multiple comparisons, split-plot designs, repeated measures.

3

Prerequisites

STA 661 or permission of instructor

STA 667 Statistical Consulting

Statistical consultation on doctoral or master’s research. Access to the Statistical Consulting Center. Students are required to attend the initial class meeting during the beginning of the semester.

1

Prerequisites

Permission of instructor

STA 668 Consulting Experience

Development of consulting skills through reading and discussion of literature on statistical consulting and participation in statistical consulting sessions.

1

Prerequisites

STA 662 or permission of instructor

STA 670 Categorical Data Analysis

Methods for analyzing dichotomous, multinomial and ordinal responses. Measures of association; inference for proportions and contingency tables; generalized linear models including logistic regression and loglinear models.

3

Prerequisites

STA 662 or permission of instructor

STA 671 Multivariate Analysis

Multivariate normal distribution. Cluster analysis, discriminant analysis, canonical correlation, principal component analysis, factor analysis, multivariate analysis of variance. Use and interpretation of relevant statistical software.

3

Prerequisites

STA 573 or STA 662 or permission of instructor

STA 672 Applied Statistical Computing

Limitations and advantages of statistical packages (SAS, SPSSX, BMDP, Minitab). Evaluation in terms of statistical methods, utility, availability, sophistication, data base manipulation, and programming capabilities. Applications from various disciplines.

3

Prerequisites

STA 572 or STA 662

STA 673 Statistical Linear Models I

Abstract vector spaces, inner product spaces, projections, the Spectral Theorem, least squares, multiple regression, ANOVA, multiple comparisons, data analysis.

3

Prerequisites

STA 352 and MAT 310 or permission of instructor

STA 674 Statistical Linear Models II

Abstract vector spaces, inner product spaces, projections, the Spectral Theorem, least squares, multiple regression, ANOVA, multiple comparisons, data analysis.

3

Prerequisites

STA 352 and MAT 310 or permission of instructor

STA 675 Advanced Experimental Design

Topics include factorials and fractional factorials, incomplete block designs, split-plot and repeated measures, random and mixed effects models, crossover designs, response surface designs, power analysis.

3

Prerequisites

STA 662 or permission of instructor

STA 676 Sample Survey Methods

Survey methods for students from any discipline. Random, stratified, cluster, multi-stage and other sampling schemes. Estimation of population means, variances, and proportions. Questionnaire design and analysis.

3

Prerequisites

STA 352 or STA 572 or STA 662 or permission of instructor

STA 677 Advanced Topics in Data Analysis and Quantitative Methods

Topics vary according to interest and demand. Quantitative methods not normally covered in detail in other statistics courses. Topics may be selected from psychometrics, econometrics, biometrics, sociometrics, quantitative epidemiology.

3

Prerequisites

STA 662

STA 690 Graduate Seminar

Development of presentation skills though reading, discussions, and presentation of current research topics in applied statistics.

1

Prerequisites

STA 662 or permission of instructor

STA 698 Project in Statistics

Directed research project in statistics.

3

Prerequisites

Permission of instructor

STA 699 Thesis

1–6

STA 701 Seminar in Computational Statistics

Readings from the literature in Computational Statistics.

Prerequisites

Either STA 651 and STA 652; or STA 676; or permission of instructor

STA 709 Topics in Computational Statistics

Advanced study in special topics in Computational Statistics.

Prerequisites

STA 552 or STA 652 or permission of instructor

STA 711 Experimental Course

This number reserved for experimental courses. Refer to the Course Schedule for current offerings.

STA 801 Thesis Extension

1–3

STA 803 Research Extension

1–3

 

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