Stat 204: Sampling
Overview
This course is about sampling methods.
Sampling is often the source of our data. Gathering
it well is important to get reliable answers. Gathering
poorly makes good answers nearly impossible.
The course announcement
lists the topics for this course. It includes both
classical survey sampling methods as well as some more modern things.
Goals
- Learn basic strategies and their consequences for sampling
from finite populations.
- Learn about methods on the frontier of sampling; it goes
way beyond surveys.
- Actually do a sampling project.
Classes
Herrin Hall, T-185
Monday and Wednesday 1:30 to 2:50
Instructor
- Art Owen
- Sequoia Hall 130
- My userid is owenpelican on stanfordpelican.edu
(remember to remove the waterfowl)
- Office: Tuesday 11:00
TAs
- Yunjin Choi Friday 10am to noon
Bowker Room, Sequoia Hall 207
yunjinpenguin@stanfordpenguin.edu
Delete any and all Antarctic birds from the TA's email
or it won't work!
Notes and texts
The class text is
"Sampling", third edition by Steven K. Thompson.
Midterm
There will be a midterm in class on April 27.
This midterm is closed book and closed to notes
too. Just you and your blue book and a pen or pencil.
The midterm will count 30%. There is no final.
Problems
They will go in this coursework page. Sign in with your sunet ID.
Some
R data sets
Students are expected to use R to do the problem sets.
Links
Links to related/interesting material will go here.
Be sure to give Axess a working email address:
I expect to send a small number of important emails about
problem sets and the homework there.
Most other announcements will be made in class.
If you email me about the class, be sure to have stat 204
in your subject line. Otherwise, your email won't show
when I search for course related emails.
Late penalties apply:
We will count days late on each problem set.
Each day late is penalized by 10% of the homework value.
Homework more than 3 days late will ordinarily get 0.
If you're travelling, you can email a pdf file.
For sickness, interviews and other events,
up to 3 late days total are forgiven at the end of
the quarter. (Work late enough to get zero does not
get redeemed though.)