STAT 430 (Introduction to Statistical Computing with SAS
| DESCRIPTION |
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. |
| PREREQUISITES |
Stat 400 or permission of instructor. Graduate students
who have
successfully taken an applied statistics course in their own department
should have no difficulty with STAT 430. |
| TOPICS |
Brief review of statistical concepts
Descriptive statistics
Points estimators
Confidence intervals
Hypothesis testing
Introduction to the SAS software system
Data screening
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
Multiple predictors
Categorical predictors and analysis of
variance
Categorical data
Frequency tables
Logistic regression
Models
for count data
Simulation.
|
| TEXT |
Text(s)
typically used in this course. |
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