This preview shows page 1. Sign up to view the full content.
Unformatted text preview: sing it extensively for answering your questions about
homeworks, exams and scheduling. You are urged to go here first to see whether
your question has already been asked and answered, and, if not, to place your
question so it can be answered once for everybody.
Note for non-Wharton students: If you do not have a Wharton computing account,
you will need to establish one to access the website. The account also provides
access to the computing labs in Wharton and to the intranet. To get an account, on or
after the first day of classes, go to http://accounts.wharton.upenn.edu. After you have
obtained your account, allow up to 12 hours for activation.
b. In addition to Canvas, some course notes will be posted on a wiki here:
http://stat.wharton.upenn.edu/~rakhlin/wiki/ Course Overview
This course develops ideas for helping to make decisions based on data. Some of the
following material will be covered: data displays (including boxplots, histograms,
scatterplots), summary statistics (including mean, standard deviation), uncertainty and
probability as limiting relative frequency, the normal distribution as a reference standard,
statistical estimation and tests, including standard errors, confidence intervals, p-values.
The course does not dwell on the details of computation—its main focus is on
understanding a few deep concepts and interpreting data and statistical results.
View Full Document
This note was uploaded on 01/14/2014 for the course STAT 101 taught by Professor Heller during the Winter '08 term at UPenn.
- Winter '08