An introduction to data analysis and statistics, including exploratory data analysis, inference for numerical and categorical variables, and regression.
Introduction to Statistical Investigations,
by Tintle, et al., Wiley, 2016
Formats: ebook or looseleaf,
"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
Unit 1: Inference
Unit 2: Comparing Groups
- 1. Significance
- 2. Generalization
- 3. Estimation
- 4. Causation
Unit 3: Analyzing More General Situations
- 5. Comparing Two Proportions
- 6. Comparing Two Means
- 7. Paired Data: One Quantitative Variable
- 8. Comparing More Than Two Proportions
- 9. Comparing More Than Two Means
- 10. Two Quantitative Variables
- Becoming an Independent Learner (pdf)
- Setting Up Your Computer for Stat 204 (pdf)
- ISI student site, Wiley
- ISI, Amazon
- Rossman/Chance applets
- Rossman and Chance, Cal Poly San Luis Obispo
- Simulation-based statistical inference
- Pruim and Park, An R companion to ISI
- Pruim and Park, Lock5 with R
- Chester Ismay, inference map
- Susan Wang, STAT2: Building Models for a World of Data
- applets supporting Statistics, The Art and Science of Learning from Data, by Agresti, Franklin, Klingenberg
Office: Woods Laboratories 120
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 (firstname.lastname@example.org), or by voice mail message (x1333).
Statistics Study Hall and Tutoring
Monday through Wednesday evenings, 7:00 - 9:00 pm
Statistics Study Hall
Monday through Thursday evenings, 7:00 - 9:00 pm
in the Mac Lab, G31,
in duPont Library
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 tutors will be available for students from all sections of Stat 204 on Monday, Tuesday, and
Wednesday evenings in the same location. Our statistics tutors this semester are Matthew Holcomb and Daisy Zhang.
They will be available to help you come to grips with theoretical and computational aspects of statistics. Drop by to discuss statistics
with the tutors 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.