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BUSINESS MANAGEMENT 2320
DECISION SCIENCES: STATISTICAL TECHNIQUES
Spring 2016
GENERAL INFORMATION
INSTRUCTORS
OFFICE
Mrs. Bonnie Schroeder
Dr. John Draper
Mrs. Schroeder: Fisher Hall 330
Dr. Draper: Fisher Hall 345
For all general course and concept questions: FCOB-ms2320ta@osu.edu
For all questions/concerns for which only your instructor would be able to grant a
permission (example: make-up exam) or supply the information (example: course
grade):
Mrs. Schroeder: schroeder.1@osu.edu
Dr. Draper: draper.34@osu.edu
E-MAIL
All communications must use secure OSU e-mail. Do not use gmail, yahoo, or
other personal e-mail accounts.
SUBJECT of all e-mail communications must include:
BM2320 / recitation day and time
If protocol is followed, you should expect a response no later than the next
business day. If protocol is not followed, you will likely not get a response.
VOICE MAIL For emergency messages only: 688 – 8062 (S) and 292 – 0025 (D)
A directory for the TAs can be found at Carmen > SP16 BUSMGT 2320 >
Content > Syllabus and General Information.
TAs
OFFICE
Fisher Hall 009 located in the hallway on (lowest) level S behind the west
elevator
E-MAIL FCOB-ms2320ta@osu.edu
An Excel file containing a complete schedule of office hours offered by all
BM2320 instructors and TAs will be posted on Carmen > SP16 BUSMGT 2320
> Content > Syllabus and General Information.
OFFICE
HOURS
More than 50 hours of office hour time will be available each week. All students
are invited to utilize any office hours scheduled by both instructors and TAs.
You cannot “schedule” time during office hours for an appointment. Be
organized and prepared to ask questions when arriving at office hours. Office
hours are not for “camping” to do homework and/or to study. You may not work
on MyStatLab Homework, Quizzes, or Tests during office hours.
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BUSINESS MANAGEMENT 2320
DECISION SCIENCES: STATISTICAL TECHNIQUES
Spring 2016
COURSE REQUIREMENTS
PREREQUISITES
Statistics 1430 (or equivalent) and CSE 2111 or 1113.
Note: We are not able to waive prerequisites for this class.
MINIMAL REQUIREMENT: MyStatLab Access w/ Sharpe 3e eText
= ISBN 9780321921468
TEXT:
Pearson
MyStatLab
OPTIONAL UPGRADES:
MyStatLab Access + Print Loose-Leaf 3-hole Punched Text
= ISBN 9780133873634
MyStatLab Access + Print Hard Bound Text = ISBN 9780133866919
IMPORTANT! Be sure that you use identifying information (name and e-mail
address) exactly as they appear in our Carmen course.
Please go to the following site to view a video detailing how you register for
our Pearson course in Carmen.
Register for MyLab http://www.pearsonmylabandmastering.com/northamerica/students/getregistered-lms/index.html
Choose the video in the “Brightspace” category. Carmen is a Brightspace
(formerly D2l) product.
CLASSROOM
SUPPORT
MATERIALS
Calculator – required for every lecture, recitation, and exam. There are no
requirements/restrictions with regard to model, but no device of any kind that
can communicate with the internet/cloud will be allowed for quizzes and
exams.
Probability tables (Carmen > SP16 BUSMGT 2320 > Content > Probability
Tables)
Course formula packet (Carmen > SP16 BUSMGT 2320 > Content >
Formula Pages)
Laptop encouraged, particularly for recitations
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BUSINESS MANAGEMENT 2320
DECISION SCIENCES: STATISTICAL TECHNIQUES
Spring 2016
COURSE OVERVIEW and OBJECTIVES
A.
Vast amounts of data are collected in today’s global business and economic environment. The most successful
decision-makers and managers are those individuals/groups that can put this information to work effectively to guide their
decision process. Accountants routinely conduct audits for their clients using statistical sampling procedures that allow
them to draw a conclusion about the accuracy of the accounts receivable amount shown on a balance sheet based on the
information obtained from the carefully validated sample. Financial advisors use a variety of statistical information to
measure the risk associated with investments. A variety of statistical information is used in production processes to
monitor the quality of the output of that process. Electronic scanners used at retail checkout counters gather data used in
establishing future marketing strategies. These are but a few examples of the uses of information generated through
statistical analysis of data.
The first objective of the course is to familiarize you with some common statistical methods used for generating
decision-making information from data. We will focus our attention on estimation and hypothesis testing, Analysis of
Variance, Regression analysis and model building, forecasting with time series, and Monte Carlo simulation. We
emphasize data investigation and mastering statistical reasoning, not mathematical rigor. Our approach will generally
follow a three-step process:
1. PLAN
 Identify the question that needs to be answered.
 Obtain relevant data. Understand the characteristics of the data.
 Select a model and method. The Normal and Binomial models will be stressed because of their general
applicability and ease of implementation, but they are applicable only under certain conditions. Before any
calculations are performed, we must verify that the data conditions support the model.
2. CALCULATE (DO)
 All formulas and calculations must be understood, and therefore demonstrated and practiced, in order to use the
methods properly. The computational burden will be eased in practice by the use of readily available statistical
computer software.
3. COMMUNICATE (REPORT)
 Proper selection of the model, accurate measurement, and a correct analysis are necessary but not sufficient for
the solution of management problems. The final, and most important, part is the interpretation of the results of the
analysis. We will emphasize contextual communication of the results of a statistical analysis to a business
audience.
B.
Professional appearance and conduct, effective communication, self-motivation, and team-work are as vital for
ensuring success in the business environment as are strong technical skills. Inattentiveness during meetings, talking or
“text-messaging” while others are speaking, and arriving late to appointments are unacceptable behaviors in the business
arena. Preparing incomplete, unorganized, sloppy, and/or illegible projects will limit your promotion possibilities.
Missing project deadlines will compromise your employment status. A secondary goal of the course, then, will be
development of behaviors, work habits, and communication skills consistent with expectations in the business
environment:
1. CITIZENSHIP
 Common courtesy will be extended to everyone, peers and instructors.
 Use of electronic devices is restricted to class related activities.
2. TEAM WORK – some graded activities will be completed in groups
3. COMMUNICATION – evaluation of written and oral expression will factor into grade determination
4. PREPARATION – research discussion topics and have appropriate materials for every “meeting”
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BUSINESS MANAGEMENT 2320
DECISION SCIENCES: STATISTICAL TECHNIQUES
Spring 2016
COURSE GRADE
Determination: The class earned distribution will adhere as closely as possible to the Ohio State University
recommended distribution (A = 93% and above, A- = 90% to less than 93%, etc.).
Components:
Item Points
5
25
30
60
200
250
MyStatLab – Lecture Prep Quizzes
MyStatLab – Tests
1 Individual Case
2 Group Cases
2 Midterm Exams*
Final Exam*
Total
Total Points
50
150
30
120
400
250
1,000
Percentage
5
15
3
12
40
25
100
*An average of 50% or higher on the exams is required to be eligible to pass the class, regardless of
performance on the other components. This is a necessary, but not sufficient, requirement. You must still
perform well enough on the other components to meet the class earned distribution (see above).
GRADE APPEAL POLICY
Although we make every effort to grade in a consistent and fair manner, occasionally an error is made or a student feels
that an error has been made. Any request for re-evaluation of a grade must be submitted, in writing, within two weeks
of grade availability.
COMMUNICATIONS REGARDING GRADES
Due to increased security concerns by the University regarding “sensitive” information, ABSOLUTELY NO student
grade information will be shared via e-mail.
GRADUATING SENIORS
Graduating seniors must make their status known to their instructor at the beginning of the semester and follow up with a
reminder during the last week of classes.
ACADEMIC MISCONDUCT
All material submitted for course grade credit must be your own work. Your instructor will report any suspected case to
the University Academic Misconduct Committee for investigation. Past cases submitted to this group have typically
resulted in the assignment of grade of E for the course plus disciplinary probation. A second offense may result in
dismissal from the University. Academic misconduct is a serious threat to the integrity and value of your diploma.
Such behavior is intolerable. For more information see the (revised) Code of Student Conduct, 3335-23-04 Prohibited
Conduct, Part A. Academic Misconduct and Code of Student Conduct, Judicial Procedures, 3335-23-05 through 3335-2313.
DISABILITY ACCOMMODATION
Students with disabilities that have been certified by the Office for Disability Services will be appropriately
accommodated and should inform the instructor as soon as possible of their needs. You, the student, are responsible for
ensuring that your proctor form has been properly filled out, signed, and returned to the Office for Disability Services
according to their scheduling requirements. If you fail to do so, and ODS will not provide proctoring for you, you will
take the exam with the regular class with no special provision. The Office for Disability Services is located in 150
Pomerene Hall, 1760 Neil Avenue; telephone 292-3307, TDD 292-0901; http://www.ods.ohio-state.edu/.
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PROCEDURE
1. Prepare for Lecture:
 MyStatLab Readings –assigned pages in Sharpe, et al Business Statistics (3rd Edition)
 MyStatLab Pre Lecture Quiz
o assessment of reading comprehension
o opens Sunday at 12:00 AM and closes Thursday at 7:30 AM
2. Attend Lecture:




Notes are posted weekly on Carmen > SP16 BUSMGT 2320 > Content > Week # > Lecture
Expand on readings
Demonstrate/apply new content
Videos are available to reinforce/review most course content.
3. Complete Homework:
 Weekly assignments given on MyStatLab.
 Practice is essential for developing understanding of course content, so completion of these assignments is
strongly encouraged.
 There is no allowance for homework in the 1000 course points, but we will assign “bonus” points, up to a
maximum of 30 points, for completion of the homework by the due date according to the following scale:
o 3 points for earned grade ≥ 90%
o 2 points for earned grade ≥ 85% but < 90%
o 1 point for earned grade ≥ 80% but < 85%
 In order to review the HW at a later date (prep for exams, for example), you must access it and submit something
prior to the scheduled close date/time.
4. Attend Recitation:





Weekly materials posted on Carmen > SP16 BUSMGT 2320 > Content > Week # > Recitation
Brief review/demonstration of previous week’s readings and lecture content
Q-and-A
Practice and/or hands-on lab.
Occasional lecture.
5. Tests:
 Regular short tests of understanding given on MyStatLab.
 Individual work. No collaboration with anyone is allowed.
 E-text and StatCrunch available.
 1 per main topic
 Opens Friday at 8:00 AM and closes Saturday (next day) at 11:59 PM.
6. Exams:
 Common Exams – notify your instructor of any conflicts immediately
 MAKEUPS - Missed exams can only be made-up in extreme cases (e.g., death of family member, personal
hospitalization, etc.) with proper documentation (e.g., a physician’s excused absence, ER paperwork, obituary,
etc.). Each decision of potentially allowing a make-up exam is made by the instructor on a case-by-case basis.
Additionally, you MUST contact your instructor prior to the scheduled exam and as soon as you know of a
potential problem or conflict with an exam date. Alternative methods (e.g., oral exam, essay) of testing may be
used for make-up exams. If you are experiencing an extreme situation or emergency, please notify the instructor
via email and/or office voice mail ASAP. (Please see page 1 of the syllabus for e-mail address and phone
number.)
 REQUIRED MATERIALS (formula pages, probability tables) will be provided.
 PENCIL must be used to write the exam.
 CALCULATOR is necessary, but there are no restrictions/requirements regarding calculator model.
 NO INTERNET OR CLOUD assess is allowed.
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7. Cases: Learning theory and techniques are necessary but not sufficient for statistical analysis in today’s business
world. Statistical analysis in support of business decisions requires the manager to understand statistical software and
interpret statistical results. Whether you are charged with performing the statistical analysis or not, you must be able to
determine whether presented statistical results make sense and are reasonable.
 Detailed information will be provided for each case on Carmen > Content > Cases > Case #.
 Require the use of statistical computing software: Excel, Excel’s Data Analysis Add-in, StatTools,
StatCrunch, Minitab, Other
•
•
StatCrunch included in MyStatLab
StatTools is available in Mason Computing Labs only
o All Programs > Palisades Decision Tools > StatTools
• Minitab is available in Mason Computing Labs as well as in some University settings (for example,
Thompson Library, 18th Street Library)
 Case 1 will be completed individually, with no collaboration with any other individuals
 Cases 2 and 3 will be completed in groups
• Teamwork: You will work with a group of your peers to complete each case. The members of each
team will be determined by the instructor.
• Be advised that students given low peer evaluation scores on Case 2 will be teamed together or will
be assigned to complete Case 3 alone.
• We cannot control when a student will drop the class or simply refuse to participate, so be prepared to
solve the entire case, no matter what.
 Each assignment will allow you to practice and improve not only your statistical skills, but also your written
communication skills. Your assignment submission should be worthy of presentation in a professional setting
TIPS FOR SUCCESS IN THIS COURSE
1. Attend all lectures and recitations with a positive attitude.
2. Participate in any open discussions.
5. Take effective notes. Often times your instructor’s comments are more important than what is already printed gets
written.
6. Stay current with the course material. Each week’s material builds on prior weeks’ material.
7. Form study groups. Studying with other students is definitely encouraged. Articulating the material in your own
words is helpful in reviewing the lecture material, as is testing each other on content.
8. Practice as many problems as time will allow. You cannot learn to swim without getting into the water; you cannot
learn to prepare gourmet meals by watching “Iron Chef;” you cannot learn statistics without putting pencil to paper – a
lot!
9. Ask questions. Seek help, in class and out.
10. Communicate any problems you are having or emergencies that arise to your instructor or TA immediately. We can be
of most help when asked or notified with ample lead-time.
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Tentative Course Schedule – Spring 2016**
Week
Dates
Topic
Reading Assignment
R
M, 1/11
T, 1/12
Course Introduction
Stat1430 Review, time permitting
(Chapters 1 – 6)
Chapter 7
L
Th, 1/14
Review
Sampling Distributions and CI
Chapter 9
Chapter 11.1 – 11.3
R
M, 1/18
T, 1/19
MLK Day - no classes Monday
Tuesday recitations cancelled
L
Th, 1/21
Hypothesis Tests Part I [µ and p]
M, 1/25
T, 1/26
Practice/Review – Hypothesis Testing
Th, 1/28
HT Part II [µ and p] –
Type I Error, Type II error, Power
Key
Dates
1
2
R
3
L
Chapter 12.1 – 12.4
Chapter 12.5, 12.6
MyStatLab
Section Test 1
Sa, 1/30
R
M, 2/1
T, 2/2
Review/Practice – HT Part II
L
Th, 2/4
Comparing 2 populations: µ D, µ 1 – µ 2
R
M, 2/8
T, 2/9
Review/Practice – Comparisons [µ D, µ 1 – µ 2 ]
L
Th, 2/11
Comparing 2 populations: p 1 – p 2
Chi-square Tests of Goodness-of-Fit
4
5
Chapter 13
Chapter 14.5
Chapter 14.1 – 14.4
MyStatLab
Section Test 2
Sa, 2/13
6
Case #1 due at
start of lecture
R
M, 2/15
T, 2/16
Review/Practice
E
W, 2/17
Midterm 1, 8:00 PM, room tba
L
Th, 2/18
Chi-square Test of Independence
Midterm 1
Chapter 14.6
Case #2 Outline
due by 11:59PM
Su, 2/21
R
M, 2/22
T, 2/23
Case #2 Outline Review
Review/Practice
L
Th, 2/25
One-way ANOVA – Part I
7
Sa, 2/27
Chapter 20.1 – 20.7
MyStatLab
Section Test 3
8
Week
Date
Topic
R
M, 2/29
T, 3/1
Review/Practice – ANOVA Part I
L
Th, 3/3
One-way ANOVA – Part II
Two-way ANOVA
R
M, 3/7
T, 3/8
Review/Practice - ANOVA
L
Th, 3/10
Simple Linear Regression – Part I
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9
Reading Assignment
Key
Dates
Chapter 20.8, 20.10
Video supplement
Chapter 15.1 – 15.2
Video Support
Case #2 due at
start of lecture
MyStatLab
Section Test 4
Sa, 3/12
Spring Break 3/14 – 3/18 No Classes
10
R
M, 3/21
T, 3/22
Review/Practice
M
W, 3/23
Midterm 2, 8:00 PM, room tba
L
Th, 3/24
Review Midterm 2
SLR Part II
R
M, 3/28
T, 3/29
Review/Practice SLR
L
Th, 3/31
Simple Linear Regression – Part III
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Midterm 2
Chapter 15.3 – 15.4
Case #3 Outline
due by 11:59PM
Su, 4/3
R
M, 4/4
T, 4/5
Case #3 Outline Review
Review/Practice SLR
L
Th, 4/7
Multiple Regression – Part I
12
Chapter 17.1 – 17.5
MyStatLab
Section Test 5
Sa, 4/9
R
M, 4/11
T, 4/12
Multicollinearity
Practice/Review
Chapter 18.5
L
Th, 4/14
Multiple Regression – Part II
Chapter 16.1–16.3, 16.6,
16.7
Chapter 18.1, 18.2, 18.6
R
M, 4/18
T, 4/19
Case #Review/Practice
L
Th, 4/21
Forecasting with Time Series
13
14
Chapter 19
MyStatLab
Section Test 6
Sa, 4/23
R
M, 4/25
No classes
Case #3 due
details to follow
FE
F, 4/29
Final Exam, 8:00 PM, room tba
Final Exam
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**Homework due every Saturday at 11:59 PM.
**Pre-Lecture Quiz due every Thursday at 7:30 AM, except Week 6 and Week 10 (midterm weeks).