ST312 - Introduction to Statistics II
- Prerequisites: ST311
- Term & Frequency: Offered Fall and Spring
- Student Audience: A broad selection of majors from across the campus.
- Credit: 3 credits
- Recent Texts: Stats Data and Models by De veaux, Velleman and Bock.
- Recent Instructors: Roger Woodard
- Background and Goals: This is a second course in statistical inference. It was created for departments that wanted a more extensive treatment of statistics but did not have a strong calculus background (that would take ST371/ST372).
- Content: A further examination of statistics and data analysis. Inference for comparing multiple samples, experimental design, analysis of variance and post-hoc tests. Inference for correlation, simple regression, multiple regression, and curvilinear regression. Analysis of contingency tables and categorical data.
- Alternatives: None
- Subsequent Courses: Students who are minoring in Statistics can use the sequesnce ST311/ST312 as prerequisite for ST430,ST431, ST432, ST435 and ST445.
S1 2017 Sections:
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