Lundquist College of Business

Spring 2008

Welcome | Syllabus | Announcements | Assignments | Handouts | Data


DSC 330, 8-9:50am or 10-11:50am Monday/Wednesday, 232 Lillis
Instructor: Iain Pardoe, 474 Lillis (346-3250), e-mail: ipardoe at

As noted in the class schedule, if you fail to show up for the first day of class you will be asked to drop the course for this quarter.

Office Hours

Monday 1-2pm Also by appointment
if you cannot make
any of these times
Grader: Lauren Cover

Thursday 12-12:45pm
474 Lillis
Tuesday 12-2pm
Wednesday 1-2pm


MATH 243 (introductory probability and statistics) or equivalent; junior standing; business or accounting major.

Required Textbook

"Applied Regression Modeling: A Business Approach" by I. Pardoe (USBN: 978-0-471-97033-0) - available from the University Bookstore on 13th and Kincaid. There is a website for the book at If you want to supplement your reading I recommend "A Second Course in Statistics: Regression Analysis" (6th edition) by W. Mendenhall and T. Sincich (ISBN: 0-13-022323-9).


Computing is an integral part of this course. SPSS for Windows is the recommended software; you may use other statistical software if you wish, although the instructor may not be able to help you with such software. No prior knowledge of SPSS is expected. SPSS for Windows is installed on the computers in the LCB Business Technology Center. Information on the use of the Business Technology Center is available at

A statistical calculator will not enable you to complete all the assignments. However, you do need a calculator that can find roots, logs and exponentials. Bring your calculator to the exams. Information on the use of SPSS is available in the textbook and from the software help feature. You will receive further instruction on SPSS during class and all data-sets discussed in the textbook and used in class are available at the course web-site.

Web-site and E-mail

The web-site for this course is at The web-site contains course announcements, homework assignments, (virtual) handouts, and data for use in assignments. You should get in the habit of checking the course web-site regularly, particularly before doing homework assignments.

You are advised to have a working e-mail address that you check frequently. Announcements are made on the course web-site, and you are informed when there are important new announcements via e-mail.

Individual Work

Individually, you are expected to attend all classes, to keep up with assigned reading of the textbook, to complete one individual homework assignment, to take six mini-quizzes, to take two exams, and to participate in all group work.

Group Work

Other than the individual homework assignment, the mini-quizzes and the exams, your course grade is based on group work. You are required to complete an online survey regarding contact information, relevant skills, and availability by 4:00 pm on Tuesday of the first week of classes. The information collected is used to form groups of four students.

Seven group homework assignments, "Statistics in Action" class participation, and the "Real-world Case" project (see below) are done in these groups. For the group assignments, everyone in the group (initially) receives the same score. This score is adjusted downwards for individuals who receive poor evaluations from their fellow group members at the end of the quarter (see below).

You work in the same group throughout the term, unless some accommodation needs to be made to address a problem which cannot be resolved within the group. However, you are expected to resolve any personality conflicts or other problems within your group before asking the instructor to intervene. Think of this as training for the real world of business!

Classroom expectations include:

Homework is a required part of the course. There are eight short homework assignments, all of which count towards the homework portion of your grade. The first seven assignments are done in groups; the eighth assignment is individual work. All assignments are graded and most require computer work.

Assignments are posted at the course web-site a week before they are due. Assignments are due at the beginning of class on Mondays, and graded and returned Wednesday of the same week. There is no homework assigned during the week in which there is a mid-term exam. Solutions are not posted, although corrections are indicated as far as possible on returned assignments.

Late homework is not accepted unless prior permission has been obtained from the instructor. You are required to work the seven group homework assignments with the other students in your group, and turn in just one write-up of your answers. For each assignment, everyone in the group receives the same score (subject to adjustment as a result of group member evaluation). For the eighth assignment, everyone is expected to turn in their own individual write-up (which cannot be copied from anyone else). Conscientious completion of all homework assignments is recommended to getting a good grade in this course (see grading below).

"Statistics in Action" (SIA) Class Participation

Parts of five classes are spent discussing some real-life, high-profile issues. Data from relevant studies are presented for analysis, and guidance is given to prompt you to form your own conclusions and to think through the statistical issues involved. A week's notice is given for these class participation sessions to allow you time to prepare in your groups.

Grading for the sessions is on a zero/full credit basis. A question about the study is asked at the beginning of the session, and each group writes their answer down on a piece of paper. This is then checked by the instructor and the class discussion begins. Each member of a group receives full credit for that session if the group gets their written answer correct, or, if not, if at least one of the group makes a relevant remark in the ensuing discussion. If the group gets their written answer wrong and no-one in the group makes a useful contribution to the discussion, everyone in that group gets zero credit for that session.


There are six mini-quizzes throughout the quarter. They each consist of a few multiple-choice questions in the same style as the multiple-choice questions on the exams. The questions are based on material covered prior to the quiz, and are designed to be easy to answer if you've been keeping up with the material. Make sure you inform the instructor beforehand if you need to miss a class (for an official athletic event for example), since these quizzes cannot be made up after the fact. Your five best scores count towards your grade.


The date for the mid-term exam is Wednesday, April 30; this covers all material through the first 8 classes. The final, scheduled for 6:00pm on Thursday, June 12 in 207 Chapman Hall, is comprehensive (covers everything from the term). The exact format of the exams is announced a couple of weeks prior to each exam.

"Real-world Case" Project

There is an optional small project based on analyzing a real data-set. A good project score can be used to offset a poor mid-term score (see below). Part of a class is spent discussing the details of the project a couple of weeks before the last day of classes.

You are required to do the project with the other students in your group, and turn in just one write-up of your analyses by 8am on Monday of exam week. Everyone in the group who contributes to the project receives the same score (subject to adjustment as a result of group member evaluation). If there is disagreement within a group such that some group members want to do the project but others do not, the instructor may reorganize some groups so that everyone wishing to do the project is able to do so in a group of three or four.


Part Group/Individual Points available
Homework assignmentsGroup/Individual150
"Statistics in Action"Group50
Mid-term examIndividual300150
"Real-world Case" projectGroup0150
Comprehensive final examIndividual400

If you don't do the project, your mid-term portion remains as a score out of 300. If you do the project, your mid-term portion is converted to a score out of 150, and you can get up to 150 points for the project. (Unless this would give you a score less than your original mid-term score out of 300, in which case you would retain your original mid-term score and score nothing for the project.) Note that the homework, "Statistics in Action" sessions, mini-quizzes, and final exam count in everyone's grade. Failure to complete the group-information survey by 4:00 pm on Tuesday of the first week of classes results in the loss of 10 points from your total score.

Course grades are based on the A-F scale with pluses/minuses. Class attendance is mandatory. Make-up exams/quizzes can be given only for documented reasons outside your control, e.g. illness supported by a letter from your doctor. Social, employment, and vacation conflicts are not acceptable reasons. Grades of "I" can be given only in extraordinary circumstances, and then only by written agreement between the instructor and the student. An incomplete cannot be given on the grounds of an unexpectedly heavy course load.

Group Member Evaluation

At the end of the quarter you evaluate fellow group members (for both homework and project if applicable) on a scale from 0-10. Your personal group evaluation score is your average score from everyone else in the group (rounded to the nearest whole number). If 7 or higher, your group homework, statistics in action, and project scores are not adjusted. If 6 or lower, your group homework, statistics in action, and project scores are adjusted downwards as follows (subject to the instructor's discretion):

Score 0 1 2 3 4 5 6 7-10
Adjustment 0% 20% 40% 60% 70% 80% 90% 100%

Workload and Coverage

The amount of work expected for a 4 credit course is 12 hours per week. Class-time accounts for 3 hours 40 minutes, so you should expect to spend at least 8 hours each week reading the textbook, completing assignments, preparing for "Statistics in Action" sessions, and studying for exams.

Class time is generally 55 minutes, then a 5 minute break, then a further 50 minutes. While the emphasis given during class is a good indication of the relative importance of the material to be covered, you are responsible for all the material in assigned readings. The tentative course outline is as follows:

Week Date Class Topics Textbook Assignments Due
1 M 3/31 1. Course intro, why learn business stats? I.1-I.2  
W 4/2 2. Review: Statistics, data, populations; hands-on SPSS computing 1.1-1.2  
2 M 4/7 3. Random sampling, confidence intervals 1.3-1.5 HW 1
W 4/9 4. Hypothesis tests, prediction; SIA practice 1.6-1.8  
3 M 4/14 5. Simple linear regression: the model 2.1-2.2 HW 2
W 4/16 6. Standard error (s), R-squared, slope parameter test/interval 2.3  
4 M 4/21 7. Correlation (r), assumptions, interpretation 2.4-2.5 HW 3
W 4/23 8. Estimation/prediction; extended example; SIA 1 2.6-2.7  
5 M 4/28 9. Practice mid-term; Multiple linear regression: the model 3.1-3.2 HW 4
W 4/30 10. Mid-term exam    
6 M 5/5 11. Standard error (s), R-squared, global usefulness test 3.3.1-3.3.3  
W 5/7 12. Model building: nested model test, regression parameter tests/intervals 3.3.4-3.3.5  
7 M 5/12 13. Transformations, interaction 4.1-4.2 HW 5
W 5/14 14. Assumptions, interpretation, estimation/prediction; SIA 2 3.4-3.7  
8 M 5/19 15. Qualitative variables, influence 4.3-4.4, 5.1 HW 6
W 5/21 16. Autocorrelation, collinearity, confounding, overfitting, extrapolation, missing data; Project preview; SIA 3 5.2  
9 M 5/26 -   Memorial Day - no class    
W 5/28 17. Model building guide-lines, interpretation 5.3-5.5 HW 7
10 M 6/2 18. Practice final; SIA 4    
W 6/4 19. Review; decision game; SIA 5   HW 8

LCB Code of Professional Business Conduct

The Lundquist College of Business learning community is committed to a set of core values that guide our interactions with one another. Our values are as important within our LCB community as within the business community. Our values help define both how we aspire to act and what it means to be a business professional.


Members of our community act with integrity and honesty. These qualities are essential in providing a basis for trust and go to the core of what is expected from business professionals.


Our community conveys respect for the dignity of all people. Our relationships are based on mutual respect. Differences of opinion are discussed openly and civilly. These discussions focus on issues and are presented in a courteous manner. We are sensitive to the impacts of both our words and actions on others.


We encourage all members of our community to exchange ideas freely within the bounds of reasonable behavior. We recognize that learning requires an open environment.


We act publicly and accept responsibility for our actions. We understand that the community will keep us accountable for our dealings. We deliver on the commitments and promises we make to others.


Our community is stronger when we work as a team. We foster attitudes encouraging members of the community to give and receive constructive criticism, and develop creative solutions to challenges.

Disability access statement

The University of Oregon is an equal opportunity, affirmative action institution committed to cultural diversity and compliance with the Americans with Disabilities Act. If you have a documented disability and anticipate needing accommodations in this course, please make arrangements to meet with the instructor soon. Please request that the Counselor for Students with Disabilities send a letter verifying your disability. This syllabus will be made available in alternative formats upon request.

Welcome | Syllabus | Announcements | Assignments | Handouts | Data
© 2008, Iain Pardoe, Lundquist College of Business, University of Oregon
Last updated April 1, 2008

The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the University of Oregon.

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