Since its release in 1997, R has emerged as a popular tool for statistical analysis and research. The flexibility and extensibility of R are keys attributes that have driven its adoption. Some of...

Since its release in 1997, R has emerged as a popular tool for statistical analysis and research. The flexibility and extensibility of R are keys attributes that have driven its adoption. Some of...

Time series data are intriguing yet complicated information to work with. While this course will provide students with a basic understanding of the nature and basic processes used to analyze...

Students completing this course should be able to:Select appropriate methods of multivariate data analysis, given multivariate data and study objectives; Write SAS and/or Minitab programs to...

STAT 481 (Intermediate SAS) builds on the skills and tools learned in STAT 480 (Introduction to SAS) to extend students' SAS programming skills to an intermediate level. Students are provided...

This course introduces students to basic knowledge in programming, data management, and exploratory data analysis using SAS software. Students are provided the opportunity to learn a...

Users of statistics -- researchers, government agencies like the Census Bureau and the Bureau of Labor Statistics, companies like the automakers and drug industry, etc. -- make extensive use of...

The aim of this course is to cover sampling design and analysis methods that would be useful for research and management in many field. A well designed sampling procedure ensures that we...

Course ObjectivesTo develop a critical approach to the analysis of contingency tables To examine the basic ideas and methods of generalized linear models To link logit and log-linear methods...

STAT 580 (2 credits) and STAT 581 (1 credit) are two separate courses that are taken one after the other; STAT 580 one semester followed by STAT 581 a subsequent semester. Students enroll in...

STAT 580 (2 credits) and STAT 581 (1 credit) are two separate courses that are taken one after the other; STAT 580 one semester followed by STAT 581 a subsequent semester. Students enroll in...

This graduate level course offers an introduction into regression analysis. A researcher is often interested in using sample data to investigate relationships, with an ultimate goal of creating...

STAT 414 focuses on the theory of introductory probability. The course goals are:To learn the theorems of basic probability. To learn applications and methods of basic probability. To...

STAT 415 follows the content covered in STAT 414 and focuses on the theoretical treatment of statistical inference, including sufficiency, estimation, hypothesis testing, regression, analysis...

STAT 482 (Advanced Topics in SAS) builds on the skills and tools learned in STAT 480 (Introduction to SAS) and STAT 481 (Intermediate SAS). One of the primary goals of the course is to...

This is a graduate level course in analysis of variance (ANOVA), including randomization and blocking, single and multiple factor designs, crossed and nested factors, quantitative and...

Data mining and statistical learning methods use a variety of computational tools for understanding large, complex datasets. In some cases, the focus is on building models to predict a...

The course will cover most of the material in the text, Chapters 1-15. The students will be required to use statistical computer software to complete many homework assignments and...