The purpose of this course is to learn the basics of analyzing data.
This course is the first in a two-part sequence that teaches the basics of Statistics. During the first quarter, we examine some fundamental concepts: variation, valid comparisons, inference. We will emphasize techniques to discover patterns in data and to communicate patterns in data. Inescapably, we will find that some mathematical (probabilistic) models can assist us, although they are not always necessary.
Basic Course Info
Software: Arc and Xlispstat (Arc contains Xlispstat,
so you only need Arc and you get Xlispstat as an added bonus.)
Getting
Started (also Lab 1, Due Friday, April 9)
Download
Software for Mac.
Download
software for PC.
Outline
Sections
Covered in the Book so far, with a brief look into the future
Tests
Where
to go for help.
Day-to-day Stuff
Announcements
Homework
Labs
(Software and Computer Information)
Datasets
Grading and Other Important Stuff
Grading
There are two schemes available. You don't have
to choose, I'll choose the one that gives you the highest score:
1) Homework (10%), Quizzes (25%), Midterm (25%), Final
(40%)
2) Homework (10%), Quizzes(20%), Midterm (20%)
Final (50%)
Your grade will be determined relative to the other students
in the class, which means I can't tell you ahead of time what it is.
Once a final score is calculated, the median score will be worth a grade
of a B.
Things to Keep In Mind
1) Check the homepage for info: www.stat.ucla.edu
and follow the links from there to our class.
2) I want to meet and talk to each of you. It's
easier for me to determine the pace and content of the class if I receive
feedback from you. Don't hesitate to visit during office hours or
make an appointment. I might be pressed for time on any given day,
but I will make time for you as often as I can.
3) Don't fall behind!! Easier said then done, but the
nature of this course is that the content is very cumulative. If
you don't understand what we're doing this week, you will have an even
harder time the next week. Ask questions NOW! The week before
the midterm it will be too late.