ST307 - Introduction to Statistical Programming - SAS
- Prerequisites: ST 305 or ST 312 or ST 372 or Prerequisite: ST 350 or BUS 350
- Term & Frequency: Fall and Spring
- Student Audience: Undergraduates in all quantitative fields. Required for Statistics majors.
- Credit: 1 credit
- Recent Texts: None
- Recent Instructors: Justin Post
- Background and Goals: The goal of this course is to provide students a basic introduction to the SAS statistical programming environment.
- Content: An introduction to using the SAS statistical programming environment. The course will combine lecture and a virtual computing laboratory to teach students how to use the SAS sytem for: basic data input and manipulation; graphical displays of univariate and bivariate data; one- and two-sample analyses of means; simple linear regression; one-way ANOVA. Documentation of code and writing of statistical reports will be included.
- Alternatives: None
- Subsequent Courses: ST 445
S1 2017 Sections:
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