Stat 401 - Applied Methods in Statistics
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.
Log into D2L course page to access course material, assignments, etc.
- Course calendar
- Textbooks (free pdf): OpenIntro Statistics, 3rd ed. and Introductory Statistics with Randomization and Simulation
- 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)
Additional R References
- R and RStudio basics
- 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
Homework assignments are due at the beginning of class on the due date.