Statistical methods for experimenters and researchers emphasizing design and analysis of experiments.
This course requires proctored exams. Details will be provided in the course syllabus.
This course can be applied toward:
STAT 511 (Design and Data Analysis for Researchers I).
Tuition includes access to lecture recordings which are available by streamed video. Lecture recordings may also be available by download or on DVD. To determine viewing options, contact the Department of Statistics degree program staff at firstname.lastname@example.org. Visit the Department of Statistics website to learn more about what to do after registration, including creating your eID (if necessary) and accessing your course.
Textbooks and Materials
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
- An Introduction to Statistical Methods and Data Analysis, 6th Ed.
Ott, R. Lyman & Longnecker, Michael
Computer Software: R. No prior knowledge of R is assumed, although familiarity with Microsoft Windows and an internet browser (Firefox, Netscape or Internet Explorer) is expected.
Kirsten Eilertson is originally from Minnesota. She earned her PhD in Statistics from Cornell University. She is an applied statistician, and has previously worked at The Gladstone Institutes at UC San Francisco and Penn State University. Her recent research has focused on modeling the impact of vaccination programs on disease burden in low- and middle-income countries. In her free time you may find her planning her next travel itinerary or hiking with her dog and husband, while optimistically anticipating The Winds of Winter by George R.R. Martin.