Course Title: Business Statistics and Analysis
Quarter/Year: Spring Quarter, 2013
Course Number, Section, and CRN: INFO1020, Section 2, CRN 4222
Prerequisites: INFO 1010, MATH 1200
Meeting Place and Time: DCB 105, M/W 10 AM-11:50 AM; Lab is DCB 200, F 9:00-9:50 AM
Name of Professor: Dr. Kellie B. Keeling
Office Hours: 1:30-3:45 Monday & Wednesday or by appointment
Office Location: DCB 590
E-Mail Address: stat@statsdairy.com
Phone Number: 303-871-2296 (but please e-mail to leave me a message, as my phone eats messages)
Class Web Presence: http://statsdairy.com and http://blackboard.du.edu/
All students need to follow these expectations:
University of Denver Honor Code
All students are expected to abide by the University of Denver Honor Code. These expectations include the
application of academic integrity and honesty in your class participation and assignments. The Honor Code
can be viewed in its entirety at this link: http://www.du.edu/studentlife/studentconduct/index.html
All members of the University of Denver are expected to uphold the values of Integrity, Respect, and
Responsibility. These values embody the standards of conduct for students, faculty, staff, and administrators
as members of the University community.
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In order to foster an environment of ethical conduct in the University community, all community members are
expected to take “constructive action,” that is, any effort to discuss or report any behavior contrary to the Honor
Code with a neutral party. Failure to do so constitutes a violation of the DU Honor Code. Specifically,
plagiarism and cheating constitute academic misconduct and can result in both a grade penalty imposed by the
instructor and disciplinary action including suspension or expulsion. As part of their responsibility to uphold the
Honor Code, instructors reserve the right to have papers submitted through SafeAssign to check for plagiarism
against a database of papers submitted previously at DU, a national database of papers, and the Internet.
Official Communications
The standard method of communicating official information from the Daniels College of Business to its students
is through email. Students are provided a DU account using the protocol of firstname.lastname@du.edu, but
must set up a "preferred" off-campus email address. Emails sent to the DU account will be forwarded to the
preferred email account. DU accounts do not store messages. More information is available at:
http://www.du.edu/studentemail/.
Students with Disabilities
A student who qualifies for academic accommodations because of a disability must submit a Faculty Letter to
the instructor from the DU Disability Services Program (DSP) in a timely manner, so that the needs of the
student can be addressed. Accommodations will not be provided retroactively, e.g., following an exam or after
the due date of a project. DSP determines eligibility for accommodations based on documented disabilities.
DSP is located in Ruffatto Hall, 1999 E. Evans Ave. (303-871-2278).
http://www.du.edu/studentlife/disability/dsp/index.html
Performance Assessment
The Daniels College of Business may use assessment tools in this course and other courses for evaluation.
Educational Assessment is defined as the systematic collection, interpretation, and use of information about
student characteristics, educational environments, learning outcomes and client satisfaction to improve
program effectiveness, student performance and professional success.
Conflicts of Interest, including Gifts from Students
The University of Denver requires all employees to avoid real or perceived conflicts of interest. Because of
possible perceptions of undue influence, it is not appropriate for a student to give a gift to a faculty member
while the student is still enrolled in that faculty member’s class, including through the grading period.
Emergency Procedures
The College places great emphasis on the safety of its students. Please respect emergency instructions,
including fire alarms. For more information, go to http://www.du.edu/emergency/whattodowhen/index.html .
The Core Analytics Program
The Department of Business Information and Analytics teaches the three-course core analytics program to all
undergraduate business majors. This program is designed to familiarize all undergraduate business students
with the data and analysis frameworks that are prevalent in business today, in addition to developing some of
the analytic skills that are useful, and frequently required, in many business environments. Furthermore, the
sequence provides business analytics majors the background necessary to prepare them for the program that
will help them develop as business analysts.
INFO1010
Data Management and Analysis
The amount of data businesses are able to maintain and process is growing exponentially, and the ability to
manage that data successfully can give a business a competitive advantage. This course introduces the
student to the business data landscape, as well as basic data management and analysis skills.
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INFO1020
Business Statistics and Analysis
Businesses employ statistical techniques to improve the decision-making process. This course introduces the
student to the basic tenets of probability and statistics, with an emphasis on business applications.
INFO2020
Business Modeling and Analysis
Businesses make decisions and improve processes using a variety of modeling and analytic techniques. This
course introduces the student to the techniques of multiple regression, time series forecasting, optimization,
and simulation for solving a variety of business problems. INFO2020 will include a final exam that is
comprehensive for the core analytics program.
Required Materials:
Textbook: The Coursepack, University of Denver, Daniels College of Business, Business Information and
Analytics, INFO1010/INFO1020/INFO2020, Anderson, Sweeney, and Williams, is required for all students for
the course sequence. The coursepack includes extracts from Modern Business Statistics, by Anderson,
Sweeney, Williams; Quantitative Methods for Business, by Anderson, et. al.; and Problem-Solving Cases in
Microsoft Access and Excel, by Monk, Brady, and Cook.
Course Resources are available through the website login.cengagebrain.com which requires the access code
that comes with your textbook. Data files for homework problems may be accessed through this site. You
may also download supplementary statistics software through that site.
Microsoft Excel 2010 (Windows Version) will be used throughout the core Analytics program. It is the students’
responsibility to ensure that their laptops are equipped with the prescribed (or equivalent) software to complete
the course requirements. The Microsoft Excel Data Analysis add-in and the Excel Solver add-in (required for
INFO 2020 only) are the minimum statistical analysis capabilities required for the course sequence. MS
Access will be required for two lessons of INFO1010. We will also use JMP which will be distributed the first
day of class. Additional statistics packages, to include StatTools, MegaStat, Minitab, or StatPlus may be used
at the discretion of the student but will not be supported by the instructor. Any graphing calculator, to include
those with built-in statistical functions, may be used at instructor discretion.
Microsoft Certified Application Specialist (MCAS) Certification: Microsoft Word and PowerPoint certification
(along with Excel certification) is required to pass the DCB1 checkpoint in your BSBA/BSAcc degree. These
certifications have been proven to: provide a basic set of Office software skills that students know so
advanced classes can know what to expect from students, improve the marketability of students, and provide
validated skills for students to help them get internships. You are required to have Office 2010 to study and
practice for these exams. Bring your laptops with Office to the assigned labs. Attendance at the labs is highly
recommended and will be recorded. Students with disabilities who need accommodations should contact the
DSP as soon as possible. Accommodation is provided via a third party, so additional time is required to
arrange for any necessary accommodations.
Daniels Areas of Interdisciplinary Strength: will be integrated into the core analytics program.
INFO 1020
Business Statistics and Analysis
Course Description: Businesses can never have perfect information; therefore, they must employ statistical
techniques to improve the decision-making process. This course introduces the student to the basic tenets of
probability and statistics, with an emphasis on business applications. Statistical models as decision-making
tools will be taught. Student projects will focus on data collection, data analysis, decision analysis based on
regression modeling, and written presentation skills.
Principal Content Elements:
1. The tenets of probability theory.
2. Statistical inference.
3. Business decision-making.
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Student Learning Outcomes:
1. Understand the tenets of probability and statistics as they apply to business decisions.
2. Apply sampling and statistical inference to business applications such as data analysis, quality control, risk
analysis, and confidence in decision-making.
3. Employ statistically-supported modeling techniques that use data to predict and explain relationships that
affect business decisions, with emphasis on simple regression.
4. Communicate the results of modeling and analysis to a decision-maker in a way that enhances the
decision-making process.
5. Continue to develop the critical-thinking and problem-solving skills necessary to produce a business
decision from a data set.
Assessment
Performance will be evaluated on the items below and your salary for the quarter will be based accordingly.
For this class, all assignments and exams assume you are trainees for Stats Dairy. Your salary is only a
measure of your performance in this class and does not reflect my opinion of you as an individual or your worth
as a person. You begin as a trainee with a virtual salary of $100,000. Your goal in this course is to KEEP your
$100,000 salary. Money is allocated based on the following:
Requirement
Exam 1 (Open references and laptop)
Exam 2 (Open references and laptop)
Exam 3 (Open references and laptop)
Course Project (Individual work – 3 Phases)
Final Exam (Open references and laptop)
Homework
Attendance / Latest Moos Assignments
Total
Amount
$10,000
$15,000
$15,000
$20,000
$20,000
$10,000
$10,000
$100,000
%
10%
15%
15%
20%
20%
10%
10%
100%
Grading scale: A: 93-100%; A-: 90-92.9%; B+: 87-89.9%, B: 83-86.9%; B-: 80-82.9%; etc.
In-class Participation: During class, Latest Moos (mini-group discussions/problems) will be completed as
your participation grade. The lowest three scores will be dropped. You must be present to complete the
assignment unless you have an excused absence.
Homework: Homework will be assigned most classes and will be due before the following class period.
Homework promotes an understanding of the course material, reinforces the course learning outcomes, and
prepares students for the exams. The homework is completed online using the Homework Manager which
requires internet access. There will be 15 assignments and your 9 highest scores will be calculated for
“Homework.” Late work will be accepted with a 31% penalty up to one week late. Assignments will be posted
on the Stats Dairy website: http://statsdairy.com/ under Business Statistics and Analytics, Assignments.
Extra Credit Homework: If you complete all homework assignments in a module with at least a 70%, then
you will receive 1% on your course final grade for a total of 4% or $4,000 possible extra credit points.
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Communication
If you are having difficulty with the course material, please see me at your earliest convenience. Do not wait
until the first exam to see me about difficulties you are experiencing in comprehending the course material. Do
not allow yourself to fall behind in covering the assigned material as this will most certainly result in a poor
course grade. Keep up with your assignments and the readings in the text!
Class Schedule - INFO 1020 – Keeling Section 2
Week
Date
Topics
Readings
Due Before Class
1
M Mar 25
W Mar 27
Probability I
Probability II
4.1-4.3
4.4-4.5
HW1
2
M Apr 1
W Apr 3
Discrete Probability Distributions
Continuous Probability Distributions
5.1-5.5
6.1-6.3
HW2
HW3
3
M Apr 8
W Apr 10
MODULE EXAM 1
Sampling
7.1-7.6
4
M Apr 15
W Apr 17
Interval Estimation
Hypothesis Testing I
8.1-8.4
9.1-9.3
HW5
HW6
5
M Apr 22
W Apr 24
Hypothesis Testing II
MODULE EXAM 2
9.4-9.5
HW7,Project Phase I
HW8
6
M Apr 29
W May 1
Inferences About Two Populations
ANOVA
10.1-10.4
13.1-13.2
7
M May 6
W May 8
Experimental Design/Goodness of Fit
MODULE EXAM 3
13.3-13.4/12.1
HW10
HW11
8
M May 13
W May 15
Simple Regression I
Simple Regression II
14.1-14.3,14.5
14.4,14.6-14.9
Project Phase II
HW12
9
M May 20
W May 22
Goodness of Fit and Independence
Nonparametric Tests
12.2-12.3
Outside Book
HW13
HW14
10
M May 27
W May 29
Memorial Day
Display final projects/Review
11
Monday
June 3
FINAL EXAM
10 AM to 11:50 AM in our classroom
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HW4
HW9
Project Phase II (Final)
HW15