NOTE: This is the course webpage for the Spring 2019 offering of STAT 324, Lecture 1.
Important dates
- Thursday 2/28/2018: Midterm 1 in lecture
- Thursday 4/11/2018: Midterm 2 in lecture
- Sunday 5/5/2018, 7:25-9:25pm: Final Exam (Location TBA)
- Other important dates (e.g. drop deadline )
Office hours and locations
See the course Syllabus.
Prerequisites
Math 112 (Algebra) and 113 (Trigonometry) or Math 114 (Algebra and Trigonometry).
Textbook
There is no required textbook for the class. The recommend text is An Introduction to Statistical Methods by R.Lyman Ott and Michael Longnecker.
Programming
We will use the freely-available statistical software R and RStudio (See the Getting started with R from Professor Karl Broman and RStudio tutorial from John Gillett.)
Grading
The grading scheme for the course is as follows:
| Component | Points |
|---|---|
| Homework | 120 |
| Midterm 1 | 80 |
| Midterm 2 | 80 |
| Final | 120 |
Homework
There will be 8 homework assignments and each homework has 15 points. Check homework submission policies from the syllabus.
Exams
There is no makeup exam. If you miss the exam, you must provide a justified and documented reason to the instructor.
Free tutoring
The Department of Statistics is offering free tutoring. See details from this flyer.