Stat 401 - Applied Methods in Statistics
Fall 2017
STAT 401 provides researchers with a general overview of statistics and is intended for graduate students not majoring in the mathematical sciences. This overview prepares students for higher level STAT courses such as graphical techniques (408), methods of data analysis (411/511), non-parametric methods (431), and sampling (446). We will cover chapters 1-7 in the text. Topics include: the basics of graphical techniques and sampling, transformations, sampling distributions, one-way ANOVA, multiple comparisons, contingency table analysis, and simple linear regression.
After completing this course, students will be able to: describe a data set using appropriate numerical and graphical measures; evaluate the validity of a statistical analysis; determine the scope of inference that can be made in a study; understand and implement the fundamental techniques of statistical inference; and communicate results of a statistical analysis effectively in writing.
Course Information
Log into D2L course page to access course material, assignments, etc.
- Syllabus
- Course calendar
- Textbooks (free pdf): OpenIntro Statistics, 3rd ed. and Introductory Statistics with Randomization and Simulation
Data Sets
- Birth Weights (.dat - comma separated)
- Current Population Survey (.csv)
- Ames Iowa Housing (.csv)
- Dolphin case study (.txt - white space separated)
- Gallup atheism survey (.txt - white space separated)
- Anorexia study data (.txt - white space separated)
- North Carolina births (.txt - white space separated)
- State SAT data (.csv)
- Real Estate data (.csv)
- GPA data from Exercise 8.5 of OpenIntro (.csv)
- Professor evaluation data (.csv)
- Diamonds (.txt - white space separated)
- Challenger O-ring data
Additional R References
- R and RStudio basics
- Quick-R
- A Beginner's Guide to R
- Data visualization cheatsheets using ggplot2: here and here
- More R cheatsheets
- Datacamp's free Introduction to R Programming online course
Project Resources
- Project instructions
- Potential data sources
- Communicating Statistical Results by Givens and Hoeting
Homework
Homework assignments are due at the beginning of class (1:40pm) on the due date.
Assignment |
Due Date |
Homework 1 | Thur Sep 7 |
Homework 2 | Thur Sep 14 |
Homework 3 | Thur Sep 21 |
Homework 4 | Thur Sep 29 |
Homework 5 | Thur Oct 5 |
Homework 6 | Tue Oct 17 |
Exam 1 Corrections (optional) | Tue Oct 31 |
Homework 7 | Thur Nov 2 |
Homework 8 | Thur Nov 9 |
Exam 2 Corrections (optional) | Tue Nov 28 |
Homework 9 | Tue Dec 5 |