An introduction to data analysis and statistics, including exploratory data analysis, inference for numerical and categorical variables, and regression.
If you would like to talk with me in addition to the interactions generated during those hours, please make an appointment to see me in my office (WL120), either when you see me in class or in the hallways or in my office, or by email (email@example.com), or by voice mail message (x1333).
The Library has kindly made the Mac Lab, G31, available for statistics students and friends from Monday through Thursday evenings,
from 7 to 9 pm. Statistics tutoring will also be available for students from all sections of Stat 204 on Monday, Tuesday, and
Wednesday evenings in the same location. Our (pioneer!) statistics tutor is Kasey Marshall. She will be available to help you come to grips
with theoretical and computational aspects of statistics. Drop by to discuss statistics with the tutor and other students, or just to work
on your classwork and homework in a supportive environment, with nice computers, and easy access to knowledgeable statistics students.
Every assignment in this class has a specific due date. Normally, work submitted after its due date will not count for a grade. Exceptions may be granted for officially sanctioned reasons, such as being out of town with a university athletic team, but you must obtain permission beforehand. Otherwise, late work will not count for a grade and make-up quizzes and exams will not be given.