

Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Information about stat 333, a university course on applied regression analysis taught by r. Johnson at the university of wisconsin-madison during the spring 2008 semester. The course uses the textbooks 'applied regression analysis' by norman draper and harry smith, and 'applied regression analysis' by sandy weisberg. Students are required to have a prior course in statistics and be familiar with windows, mac, or linux. The course grade is based on midterm exams (65%), a project (10%), and homework (15%). Office hours are held by the instructor and the teaching assistant, sheng zhang. Prerequisites, grading details, and exam dates are outlined in the document.
Typology: Assignments
1 / 2
This page cannot be seen from the preview
Don't miss anything!


INSTRUCTOR: R. Johnson
OFFICE: 1217 Medical Sciences
OFFICE HOURS: 2:15 -3:00 M and W
Web address www.stat.wisc.edu click on Department click on Courses Click on Spring 08 Course Listing. Click on Stat 333-
TA: Sheng Zhang [email protected]
TEXT Applied Regression Analysis by Norman Draper and Harry Smith
RECOMMENDED TEXT Applied regression Analysis by Sandy Weisberg
Discussion Sections. TA will answer questions and discuss lecture material and home- work solutions.
Prerequisites; A prior course in statistics and familiarity with Windows, Mac, or Linux.
Grading: Grade is based on the total of:
(1) Midterm exam I (32%) R February 28
(3) Midterm exam II(33%) R April 24,
(4) Project (10%) Due M 5/12/08 by 11:50 am.
(5) Homework (15%) (Total homework points)
Inform the instructor during the first two weeks of class of any conflicts.
Computing: We will use MINITAB software available on computers at Union South.
Computers are not permitted in the exams.