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.


Exploring the Practice of Statistics,
by Moore, McCabe, Craig,
Freeman, 2014

"Almost all topics in twenty-first century statistics are now computer dependent ..."

Bradley Efron and Trevor Hastie, 2016, Computer Age Statistical Inference, Algorithms, Evidence, and Data Science


Course Notes

Part 1: Exploratory Data Analysis Part 2: Surveys, Observational Studies, and Experiments Part 3: Probability and Inference Part 4: Categorical Data, Regression, and ANOVA




Additional Materials


R Programming

Data Visualization

Further Reading


Chris Parrish
Office: Woods Laboratories 120

Office Hours

Mondays, 2:00 - 3:00 pm
Wednesdays, 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).

Tutoring Hours

Wednesdays, 7:00 - 9:00 pm
Thursdays, 7:00 - 9:00 pm
in the Mac Lab, G31,
in duPont Library

The Department of Mathematics and Computer Science sponsors statistics tutoring for students from all sections of Stat 204. Our first (pioneer!) statistics tutor is Kasey Marshall. She is available to help you come to grips with the theoretical and computational aspects of statistics. The hours are 7-9 pm on Wednesday and Thursday evenings, and the venue is the Mac Lab, G31, in the basement of the library. To go to the Mac Lab, enter the library through the front door, turn left and go downstairs towards the ATC computer lab. At the foot of the stairs, turn right and go nearly to the end of a long hallway. Room G31 is the last room on the right. Drop by to discuss statistics with the tutors and other students, or just to work on your 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.

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