#### 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. Graduate students who have successfully taken an applied statistics course in their own department should have no difficulty with STAT 430.

#### Prerequisites

STAT 400 or STAT 410

#### 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**