ST511 - Experimental Statistics For Biological Sciences I
- Prerequisites: ST 311 or graduate standing
- Term & Frequency: Every Fall, Spring and Summer I
- Student Audience: Graduate students in the biological sciences and related fields
- Credit: 3 credits
- Recent Texts: An Introduction to Statistical Methods and Data Analysis, by Ott and Longnecker
- Recent Instructors: Jessie Jeng, Tom Reiland, Jung-Ying Tzeng, Eric Chi
- Background and Goals: This first course in statistics for graduate students is intended to give students a background in the statistical methods that will assist them in the analysis of data generated from research in the biological sciences. Students will learn several methods for summarizing and describing data in addition to techniques for using sample data to make inferences about a larger population. This is a non-calculus-based course. Students will be introduced to statistical software; however, there is not a lab associated with this course.
- Content: Data collection, descriptive statistics, random variables and probability distributions, sampling distributions, inference for population means and proportions, ANOVA, multiple comparisons, chi-square tests, regression and correlation.
- Alternatives: ST 507, ST 513, ST 515
- Subsequent Courses: ST 512
SP 2017 Sections:
|001||Reiland,Thomas ||00451 Riddick Hall||10:15AM-11:30AM||TTh||48/80 - Open|
|002||Reiland,Thomas ||00451 Riddick Hall||03:00PM-04:15PM||TTh||45/80 - Open|