STAT 430 will introduce modern techniques of computational statistics for practical analysis of data. The course will utilize the SAS software system, which is widely used both in statistical applications and in corporate data management applications. Data analysis and interpretation will be emphasized, rather than statistical theory. At every point in the course real world data sets will be used to illustrate statistical principles.
For undergraduates in mathematics or computer science seeking statistical employment after graduation, SAS is a valuable job credential. For graduate students in fields which use statistics heavily, such as agriculture, life science, education, engineering or social science, SAS is a powerful aid to research. Graduate students who have successfully taken an applied statistics course in their own department should have no difficulty with STAT 430.
STAT 400 or STAT 410
Brief review of statistical concepts
Introduction to the SAS software system
Data summaries and graphics
Creating and manipulating data sets
Merging, sorting and splitting data sets
Least squares and fitting models
Straight line fits
Graphical tools for model criticism
Categorical predictors and analysis of variance
Models for count data