Summer 2014
Location: Dawson Hall D-103
Monday Evenings 6:00pm to 10:00pm
Mark Hobneck
mhobneck@ben.edu
PRE-ASSIGNMENT:
Read Chapter 8 in the Charles H. Brase and Corrinne P. Brase textbook Understandable Statistics prior to our first class
meeting. If you did not take MGT 150 then review chapters 1-7 in the course text book.
MGT 251 – BUSINESS STATISTICS II
I.
COURSE DESCRIPTION
Regression and correlation, analysis of variance, and nonparametric statistics.
II.
TEXTBOOK AND MATERIALS
Understandable Statistics:Concepts and Methods, 10th Edition, by Charles H. Brase and Corrinne P. Brase;
Houghton Mifflin Company; Boston, New York; 2006. ISBN 978-0-8400-4838-7
Reference Textbook and Materials:
The text books listed below contain material that is relevant and beneficial as a supplement to the required text
book. The student does not need to purchase these books but can call upon them for additional reference.
Basic Statistics using Excel ® for Office XP.
III.
MISSION STATEMENT
Benedictine University is dedicated to the education of undergraduate and graduate students from diverse ethnic,
racial and religious backgrounds. As an academic community committed to liberal arts and professional education
distinguished and guided by our Roman Catholic tradition and Benedictine heritage, we prepare our students for a
lifetime as active, informed and responsible citizens and leaders in the world community.
Course Philosophy
The application of statistical tools in the real world requires the understanding of the basic concepts of data
gathering through identification of the population being studied, sampling techniques used to gather the data,
categorization of the data, distribution identification of the data, application and development of summary statistics,
inferences about the population and or sample identified, hypothesis development and testing, and finally
interpretation of the results.
Each of these steps is critical as they will guide you towards an acceptable interpretation and conclusion. Beside
developing and interpreting your own analysis of data you’ll need to understand how others arrive at their
conclusions through the process of statistical design and be able to interpret the result of others. Through a good
fundamental understanding of the components presented in this class the student should be able to determine
what constitutes a good study of scientific data and what does not.
Therefore it is the primary objective of this course to give students the basic understanding of how statistics are
used to further their understanding of behavioral applications where data is gathered and inferences are made on
that data.
IV.
GOALS, OBJECTIVES, AND STUDENT LEARNING OUTCOMES:
The overriding goal of the course is the utilization of probability and statistics and the application of the material to
the real world is the focus of the course. Awareness of that utilization within the world around us will be a focus
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along with learning to calculate meaningful statistical numbers for that usage. The outcome will be that the
student will have a better awareness of the use and application of statistics in the world around them. For the
course, objectives are listed below:
COURSE BASED STUDENT LEARNING OBJECTIVES: Upon completion of this course, students will
be able to demonstrate their mastery of the following learning outcomes,
Objective 1: Students will be able to identify and explain terminology that is related to
statistics and probability in their own words and apply those concepts to real world data and general
datasets for effective communication of statistical ideas.
Objective 2: The student will learn to interpret and analyze data in order to provide
appropriate graphical representations illustrating the underlying ideas.
Objective 3: The student will be able to calculate and interpret statistical measures and
apply those concepts to data of all types.
Objective 4: The student will be able to read and interpret statistical measures appropriate
to communication and explanation of the dataset with numbers, graphical representations and words.
Objective 5: The student will be able to construct a survey, collect data, research the
survey topic and communicate the results in a written document using words, graphical
representations, and numeric statistical measures appropriate to fully explain the dataset.
Objective 6: The student will be able to interpret probabilistic models and apply those
concepts to problem solving with probability problems. Communication of those results
numerically, graphically and verbally is an overall goal.
Objective 7: The student will be able to interpret when to use statistical distributions when
working with datasets and calculate the appropriate statistical measures for that application.
V.
TEACHING METHODS/DELIVERY SYSTEM:
Generally, the teaching method will primarily be in a lecture format. The beginning of each course will always start
with questions and answers about material we covered earlier, and we will always go over any questions regarding
homework or assignments that were assigned. However, other methods of content delivery will be applied, such
as how to use Microsoft Excel. Microsoft Excel will be used to perform the same calculations that you learned
manually in the classroom. Students will be responsible for learning how to use technology to perform calculations
and make decisions.
VI.
COURSE REQUIREMENTS
Attendance Policy
Attendance is mandatory and will be checked before each class. Since this class only meets ten nights, missing
one class constitutes missing a week of classes. Except for emergencies an absence of two weeks will lower your
grade one letter grade. Missing three classes will result in an “F” in the course. Missing two classes in a row may
also result in an “F” in the course.
This course is highly accelerated, and students will need to take a great deal of responsibility for their own learning
outcomes. Attendance is required in each class meeting for the full period of time. Any absence must be due to
extraordinary circumstances and will require documentation for it to be considered excused. Documentation must
be provided immediately in order to determine what, if any, accommodations are reasonable or possible. Class
attendance will directly impact your final grade, and each undocumented absence will be considered unexcused
and will result in a 20% reduction in the final grade for the course.
Due to the accelerated nature of the course, should you experience a medical condition which prevents you from
attending any class(es), appropriate medical documentation must be provided immediately so it may be
determined what, if any, accommodations are reasonable or possible.
Benedictine University at Springfield Student Academic Honesty Policy
The search for truth and the dissemination of knowledge are the central missions of a university. Benedictine
University at Springfield pursues these missions in an environment guided by our Roman Catholic tradition and our
Benedictine heritage. Integrity and honesty are therefore expected of all University students. Actions such as
cheating, plagiarism, collusion, fabrication, forgery, falsification, destruction, multiple submission, solicitation, and
misrepresentation are violations of these expectations and constitute unacceptable behavior in the University
community.
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Student’s Responsibility
Though there is no formal honor code at Benedictine University at Springfield, students are expected to exhibit
academic honesty at all times. Violations against academic honesty are always serious and may result in
sanctions that could have profound long-term effects. The final responsibility for understanding the Academic
Honesty Policy of the institution, as well as the specific policies for individual courses normally found in syllabi,
rests with students. If any doubt exists about what constitutes academic dishonesty, students have the
responsibility to talk to the faculty member. Students should expect the members of their class to be academically
honest. If students believe one or more members of the class have been deceitful to gain academic advantage in
the class, students should feel comfortable to approach the faculty member of the course without prejudice.
Violations of the Academic Honesty Policy will be reported to the Office of the Dean of Academic Affairs. Along
with a verbal warning, the following are consequences a student may face for academic dishonesty:
 a failing grade or “zero” for the assignment;
 dismissal from and a failing grade for the course; or
 dismissal from the Institution.
VII.
MEANS OF EVALUATION
Homework checks, using technology problems, quizzes, chapter exams and a comprehensive final exam will be
used as the primary means of evaluation. Listed below are the details of each type of evaluation measures and
the weight that will be assigned to each means of evaluation. Students are encouraged to hand in material on
time. Late homework or assignments will only count for half of their original weight.
Using Technology Problems: 20%
Homework problems will be assigned that are intended to be completed by using Microsoft Excel. Project will be
due at the end of each chapter on the same day chapter exams are due. Although there are several other
technology methods to perform statistical calculations, Excel will be the technology of choice.
Quizzes 25%
There will be in class quizzes for every chapter covered in class. These quizzes will be short enough to be
completed in class and will cover the most important topics in each chapter.
Chapter Exams 30%
Make up exams will not be provided. Students are expected to take the hourly chapter exams on schedule. The
student will have one week to complete the chapter exams. Exams will consist of three chapters tested at the
same time.
Final Exam 25%
The final exam will be comprehensive and mandatory. This will be a classroom exam but students will be allowed
to use formula sheets and handouts and statistical tables will be handed out.
Grading Summary
Using Technology Problems
Quizzes
Chapter Exams
Final Exam
20%
25%
30%
25%
100%
Grading Scale
A = 100% - 90%
B = 89% - 80%
C = 79% - 70%
D = 69% - 60%
F = 59% - 0%
If a student believes that an error has been made in reporting a grade, an appeal must be made in writing to the
instructor and must be initiated within 60 day calendar days after the end of the term for which the grade in
question was reported. The appeal should contain specific information about why it is believed the grade reported
is inaccurate. See the Student Hand book for additional details.
ADD/DROP DATES
Please refer to the current academic calendar for add/drop dates.
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Incomplete Request
To qualify for an “I” grade, a minimum of 75% of the course work must be completed with a passing grade, and a
student must submit a completed Request for an Incomplete form to the Registrar’s Office. The form must be
completed by both student and instructor, but it is the student’s responsibility (not the instructor’s) to initiate this
process and obtain the necessary signatures.
Student Withdrawal Procedure
It is the student’s responsibility to officially withdraw from a course by completing the appropriate form, with
appropriate signatures, and returning the completed form to the Advising Office. Please refer to the Student
Handbook for important financial information related to withdrawals.
VIII.
TOPICAL COURSE OUTLINE
Monday – June 9, 2014
Chapter 8: Hypothesis Testing
Using Technology Chapter 8
8th Edition
Page 467
9th Edition
Page 395
10th Edition
Page 497
8th Edition
Page 573
9th Edition
Page 483
10th Edition
Page 581
9th Edition
Page 569
10th Edition
Pages 674-675
Monday – June 16, 2014
Quiz 1 Chapter 8
Chapter 8: Hypothesis Testing
Chapter 9: Correlation and Regression
Monday – June 23, 2014
Quiz 2 Chapter 8
Using Technology 8 DUE
Chapter 9: Correlation and Regression
Using Technology Chapter 9
Monday – June 30, 2014
Quiz 1 Chapter 9
Exam Chapters 8 & 9
Chapter 9: Correlation and Regression
Chapter 10: Chi-Square and F Distributions
Monday – July 7, 2014
Quiz 2 Chapter 9
Chapter 10: Chi-Square and F Distributions
Using Technology Chapter 10
8th Edition
Page 663
Monday – July 14, 2014
Quiz 1 Chapter 10
Using Technology 9 DUE
Chapter 10: Chi-Square and F Distributions
Chapter 11:Nonparametric Statistics
Monday – July 21, 2014
Quiz 2 Chapter 10
Chapter 11: Nonparametric Statistics
Using Technology Chapter 11
Monday July 28, 2014
Quiz Chapter 11
Exam III Chapters 10 & 11
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Using Technology 9 DUE
Chapter 11: Nonparametric Statistics
Monday – August 4, 2014
Review for Final Exam
Monday – August 11, 2014
Final Exam Chapters
Summary of Computer Based Technology Assignments:
Using Technology
Chapter 8
8th Edition
Page 395
9th Edition
Page 325
10th Edition
Page497
Chapter 9
Page 467
Page 395
Page 581
Chapter 10
Page 573
Page 483
Pages 674-675
IX.
AMERICANS WITH DISABILITIES ACT (ADA)
Benedictine Benedictine University at Springfield provides individuals with disabilities reasonable
accommodations to participate in educational programs, activities, and services. Students with disabilities
requiring accommodations to participate in campus-sponsored programs, activities, and services, or to meet
course requirements, should contact the Resource Center as early as possible: springaccess@ben.edu or (217)
525-1420, ext. 3306.
X.
ASSESSMENT
Goals, objectives, and learning outcomes that will be assessed in the class are stated in this syllabus in Sections
IV and VI. Instructor will use background knowledge probes, one-minute papers, reflective essays and/or other
Classroom Assessment Techniques as deemed necessary in order to provide continuous improvement of
instruction.
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