## Elementary Statistics

### Course Description

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

### Textbook

Introduction to Statistical Investigations,
by Tintle, et al., Wiley, 2016
Formats: ebook or looseleaf, WileyPlus

### "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

### Schedule

• Stat 204 MWF Fall 2017 (pdf)

Resources

### Course Notes

P. Introduction to Statistical Investigations

Unit 1: Inference

1. Significance
2. Generalization
3. Estimation
4. Causation

Unit 2: Comparing Groups

5. Comparing Two Proportions
6. Comparing Two Means
7. Paired Data: One Quantitative Variable

Unit 3: Analyzing More General Situations

8. Comparing More Than Two Proportions
9. Comparing More Than Two Means
10. Two Quantitative Variables

Exercises

Exams and Quizzes

The Statistical Landscape

Modern Statistics

Resources

### Professor

Chris Parrish
Office: Woods Laboratories 120
email: cparrish@sewanee.edu

#### 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 (cparrish@sewanee.edu), or by voice mail message (x1333).

#### Statistics Study Hall and Tutoring

Statistics Study Hall
Monday through Thursday evenings, 7:00 - 9:00 pm

Statistics Tutoring
Monday through Wednesday 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 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.