Stat 333: Applied Regression Analysis - Spring 08, Assignments of Statistics

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

Pre 2010

Uploaded on 09/02/2009

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STATISTICS 333
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
Cl ick on Spring 08 Course Listing.C lick on Stat 333-001
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.
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STATISTICS 333

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.

ANY TRIPS YOU PLAN TO TAKE SHOULD BE SCHEDULED TO AVOID

CONFLICT WITH THE EXAM DATES.

Computing: We will use MINITAB software available on computers at Union South.

Computers are not permitted in the exams.