Statistics 204

Elementary Statistics

Course Description

An introduction to data analysis and statistics, including exploratory data analysis, inference for numerical and categorical variables, and regression.

Assessment Goals

This course satisfies the G5Q requirement for graduation, and as such it is structured to meet the four broad goals of this requirement:

For assessment, certain exercises on tests will be structured to evaluate how well you are meeting these goals.


Statistics, Learning from Data, 1st Edition,
by Roxy Peck,
CENGAGE Learning, 2015
book companion site


Course Notes

Part 1: Exploratory Data Analysis Part 2: Surveys, Observational Studies, and Experiments Part 3: Probability, Random Variables, and Probability Distributions Part 4: Inferential Statistics Part 5: Experimental Data, Categorical Data, Regression, and ANOVA



Additional Materials


Further Reading


Chris Parrish
Office: Woods Laboratories 120

Office Hours

Wednesdays, 2:00 - 3:00 pm
Fridays, 2:00 - 3:00 pm

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 (, or by voice mail message (x1333).


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.

Bamboos for a Recluse, Ni Zan (1301-1374)