COURSE
OUTLINE
MGMT
2262
BUSINESS
STATISTICS I
Winter
2010
Instructor: Gerry LaBute
Phone: 455-6850
E-mail: glabute@shaw.ca
Course Information Site: http://www.mathwizz.com/mgmt2262/index.htm
Office: EB2050
Office Hours: Monday 11-12, Thursday 3-4 or by
appointment
REQUIRED COURSE
MATERIALS:
Bowerman, Bruce L.,
O’Connell, Richard T., Schermer, Julie Aitken, Adcock, James Robert. Business Statistics in Practice: Canadian
Edition, 1st Canadian Edition, McGraw-Hill Ryerson, 2008.
Statistical Tables.
RECOMMENDED COURSE
MATERIALS:
a)
A
Texas Instruments BA II Plus calculator is recommended for the course
(please
note that other calculator types are typically not supported).
b)
The
review package, containing past exams and numerous practice questions, is also
recommended for the course. It is
available at the bookstore.
c)
Quizzes
and assignments may require the use of MegaStat.
d)
Additional reference material, such as
answers to homework and review questions, will be available on the mgmt2262
page on mathwizz.com.
COURSE
DESCRIPTION:
This
course introduces descriptive and inferential statistical analysis while
emphasizing thinking skills and computer literacy. Topics include descriptive statistics,
probability theory, simple random samples, discrete and continuous random
variables, the central limit theorem, confidence intervals, and hypothesis
testing. This course will emphasize the
application of statistical analysis to business situations, the understanding
of which will be further enhanced through exposure to current statistical
computer software.
The
method of instruction will be a combination of lecture sessions and problem
solving tasks. Students may work on some
of these tasks while in the classroom; others will be completed in the computer
lab or as take-home assignments.
MARK ALLOCATION:
Midterm Examination 30%
Final Examination
40%
Quizzes and Assignments
30%
Total 100%
LEARNING
OUTCOMES:
Mount Royal University has developed six learning outcomes that describe
core abilities all students should develop during their time at Mount Royal
University, regardless of their academic program. These abilities help prepare
graduates for a life of continuous learning, and have been identified as
critical to success in the workplace of the 21st century. This
course emphasizes and assesses two of those learning outcomes: thinking skills
and computer literacy.
Development of
thinking skills is encouraged through the practice of problem solving
techniques to complete in-class assignments, take-home assignments, quizzes,
and exams. Development of computer
literacy will be enhanced through the completion of quizzes and assignments on
statistical computer software.
COURSE LEARNING OUTCOMES:
|
Learning
Objectives |
Learning
Outcome |
Assessment |
|
Use descriptive and inferential statistics
to assess and interpret business situations |
Thinking Skills; Computer Literacy |
Quiz, Lab Assignment, Mid-term Exam, Final
Exam |
|
Understand the concept of probability and
its applicability to business situations |
Thinking Skills |
Quiz, Midterm Exam, Final Exam |
|
Perform hypothesis testing procedures
(single population) and demonstrate an understanding of their importance in
business applications |
Thinking Skills; Computer Literacy |
Quiz, Lab Assignment, Final Exam |
|
Use
current computer software to analyze quantitative business information |
Thinking Skills; Computer Literacy |
Quiz, Lab Assignments |
GRADING STRUCTURE
Please refer to the Mount Royal Calendar for
a complete table of the accepted letter grades and their descriptions. In this course, all final term grades will be
awarded in letter grades according to the following scale:
|
A+ |
≥ 93 |
B+ |
77 - < 80 |
C+ |
67 - < 70 |
D+ |
55 - < 60 |
|
A |
86 - < 93 |
B |
73 - < 77 |
C |
63 - < 67 |
D |
50 - < 55 |
|
A- |
80 - < 86 |
B- |
70 - < 73 |
C- |
60 - < 63 |
F |
< 50% |
EXAMS, QUIZZES, LAB ASSIGNMENTS:
All
exams, quizzes, and assignments will be closed book (no textbook) unless
advised otherwise by your instructor.
For quizzes and assignments, the allowed aids are limited to the
following:
- a hand-held,
non-programmable statistical calculator
- a set of
statistical tables (available at the bookstore)
- one sheet of
notes (8.5 by 11-inch paper, both sides), which may contain formulae and
notes generated by the student.
For
the midterm and final exams, students are allowed the following:
- a hand-held,
non-programmable statistical calculator
- a set of
statistical tables
- two sheets of
notes (8.5 by 11-inch paper, both sides), again generated by the student.
Other equipment (including electronic
devices), course materials, and information (computerized personal organizers,
class notes, handouts, test papers, etc.) are not permitted for quizzes or exams.
EXAMINATIONS:
The midterm examination is scheduled for
9:00 a.m. to 11:00 a.m., Saturday, March13, 2010. The midterm examination is common to all
sections, including evening sessions. It
is the student’s responsibility to ensure that he/she does not have any
conflicting commitments at that time. There
will be no deferred midterm examinations under any circumstances. Any student who finds it necessary to miss
the examination must notify the instructor in advance and provide a medical
certificate from the appropriate health professional to have the grade
weighting moved to other components of course work (principally the final
examination).
A
three-hour final examination will be scheduled by the Registrar.
The final examination is comprehensive and common to all sections,
including evening sections. It is the
student’s responsibility to ensure that he/she does not have any conflicting
commitments at that time. Deferred final
examinations are NOT at the
discretion of the instructor and may only be granted by the Program Chair (Financial
Services, Supply Chain Management and Quantitative Methods). Deferred final examinations will be granted
only for exceptional circumstances (please refer to the Mount Royal calendar)
and NOT for employment conflicts. The final examination will be scheduled by
the registrar; students must be available for final examinations up to the last
day of the examination period as specified in the Academic Schedule. The Winter
2010 final examination period is April 19 to April 29, 2010.
Students
will be advised of the dates, times, and writing locations for quizzes and lab
assignments by the instructor for their section. Quizzes and lab assignments will typically be
written during class or lab sessions, but instructors may elect to conduct some
of them as take-home assignments.
COURSE TIMETABLE
(Subject
to Change)
WEEK TOPICS TEXT
REFERENCE
1 to 2 INTRODUCTION TO STATISTICS Chapter 1
DESCRIPTIVE
STATISTICS Chapter
2
a)
Describing
the Shape of a Distribution
b)
Describing
Central Tendency
c)
Measures
of Variation
d)
Percentiles,
Quartiles and Box and Whiskers
3 to 4 PROBABILITY Chapter
3
a)
The
Concept of a Probability
b)
Sample
Spaces and Events
c)
Some
Elementary Probability Rules
d)
Conditional
Probability and Independence
e)
Bayes
Theorem
f)
Counting
Rules (not in text)
5 to 6 DISCRETE PROBABILITY DISTRIBUTIONS Chapter 4
a)
Discrete
Random Variables
b)
Probability
Distributions
c)
Hypergeometric
Distribution
d)
Binomial
Distribution
e)
Poisson
Distribution
7 CONTINUOUS PROBABILITY
DISTRIBUTIONS Chapter 5
a.
Continuous
Probability Distributions
b.
Uniform
Distribution
c.
Normal
Probability Distribution
d.
Exponential
Distribution
e.
Cumulative
Normal Table
8 to 9 INFERENCE FOR MEANS Chapters
6/7
a.
Central
Limit Theorem
b.
Z
Based Confidence Intervals for a Population Mean
c.
t
Based Confidence Intervals for a Population Mean
d.
Sample
Size Determination
(Midterm Exam is scheduled for Saturday March
13 from 9:00 a.m. to 11:00 a.m.).
10 to 11 HYPOTHESIS
TESTING Chapter
8
a.
The
Null and Alternative Hypothesis and Errors in Hypothesis Testing
b.
Type
I and Type II Errors and Their Probabilities
c.
Z
Tests about a Population Mean (σ known)
d.
t
Tests about a Population Mean (σ unknown)
12 INFERENCE FOR PROPORTIONS Chapters 6/8
a.
Central
Limit Theorem for Proportions
b.
Z
tests about a Population Proportion
c.
Confidence
Interval for a Population Proportion
d.
Sample
Size Determination for a Population Proportion
13 INFERENCE FOR POPULATION
VARIANCE (not in text)
a. Chi Square Test for
Variance
COURSE
POLICIES
1. Assignments must be
submitted according to instructions.
Issues affecting the progress of the assignments should be discussed in
advance with the instructor, NOT the day assignments are due. Unless there are extenuating circumstances,
papers turned in after the appointed times are subject to penalties. At the discretion of the instructor, late
assignments will lose 20% of the earned grade for each day late, and
assignments will not be accepted after the instructor has posted the answer key
on “Blackboard” and/or after the instructor has returned graded assignments to
students.
2. Students are expected
to respect the standards of intellectual integrity, including, but not limited
to, refraining from plagiarism, cheating, or copying someone else’s work.
“Plagiarism consists
of using other people’s words or ideas without adequately acknowledging the
source of those words or ideas. Plagiarism can take many forms: stealing an
entire essay and submitting it as one’s own work; quoting parts of a source
without acknowledging that source; quoting parts of a source without quotation
marks (even if the source is listed in the Works Cited list); too few in-text
citations compared to the amount of information used; incorrect, incomplete, or
missing documentation elements. Penalties for plagiarism can range from a
reduction in the assignment grade to expulsion from the university (Mount
Royal).”- (With thanks to Bill Bunn and Sabrina Reed, Department
of English, Mount Royal University.)
In addition, students are expected to take an
active role in encouraging other members of the academic community to refrain
from academic dishonesty and are asked to advise the instructor if they are
aware of any such violations. This provision applies to any work submitted as a
group project. Students are strongly
recommended to read the complete Code of Student Conduct, which can be found
on-line at www.mtroyal.ca/codeofstudentconduct
.
3. Students need not
receive a passing grade on all components of term work and examinations in
order to pass the course. However, failure to submit an assignment or write an
examination, without the prior approval of the instructor, may result in an F
grade for the course.
4. Final examinations
are scheduled by the Registrar. Students must be available for writing the
exams up to and including the last day of the examination period as specified
in the Academic Schedule in the Mount Royal Calendar. Students should also be fully aware of the Mount
Royal University policy on final exam deferrals as outlined under Academic
Regulations in the Mount Royal Calendar. Students are also reminded that examinations
will be actively invigilated. Students
may only bring to the exam items stipulated by the instructor as required for
the completion of the exam. All
non-essential items, including, but not limited to, hats, coats, gloves,
knapsacks, purses, and electronic devices other than approved calculators, must
be left in an area of the exam room designated by the instructor. Failure to comply may result in a failing
grade on the exam, and /or a charge of Academic Misconduct under the Code of
Student Conduct.
5. The last day to
withdraw with a grade of W is April 1,
2010. While a student’s final course
grade is not based upon his/her attendance record, students are advised to
attend all lectures and labs and to participate in all course activities.
6. Virtually all
readers of business documents expect correct grammar, punctuation, spelling,
and word usage. Based on this expectation, all graduates of the Bissett School
of Business are expected to be competent in this area. Therefore, the Bissett School of Business has
established a policy requiring minimum standards of correctness for all written
work submitted for business course credit. These standards apply to spelling,
grammar, punctuation, and word usage, but may also apply to other elements
deemed important by your instructor. Additionally,
each instructor is free to require a higher standard of correctness for their
particular course.
7. MOUNT ROYAL POLICIES
Please refer to the following
IMPORTANT pages in the Mount Royal Calendar:
Page 5, Academic Schedule
Page 22, Change of Registration
Page 26, Fee Deadlines
Page 33, Deferred Examination
Page 34, Academic Appeals and Grievances
Page 41, General Graduation Requirements
8.
STUDENTS LEARNING
SERVICES (“CREATING AN ACCESSIBLE, EQUITABLE, AND INCLUSIVE LEARNING
ENVIRONMENT”)
Students who require accommodations in classes and/or practica, directed
field studies, or clinical placements, need to register with Accessibility
Services in Y201, telephone 440-6868. Accommodation is the process of making
alterations to the delivery of services so that those services become
accessible to more people. Accommodation does not lower academic or
non-academic standards or relieve the student of the responsibility to develop
the essential skills and competencies expected of all students. To be eligible
for accommodations, accommodation letters, signed by an Access Advisor, must be
provided to course instructors.
More information is available
at:
http://www.mtroyal.ca/accessibility
http://www.albertahumanrights.ab.ca/providing_goods.asp
Expectations of Business Conduct
A successful career
in business requires more than technical skills – skills including expertise
and proficiency in accounting, marketing, human resources, insurance, aviation,
management, or entrepreneurship. It requires the ability to build productive,
long-term relationships with other members of the organization, the industry,
and the community. Such relationships are developed through day-to-day behaviors
that convey respect, honesty, confidence, and professionalism.
In the
Professionalism
·
being prepared for meetings, classes,
appointments, presentations
·
being correct and clear in written and oral
communication
·
Refraining from inappropriate gossip, such as
making derogatory comments about students to other students, about instructors
to other instructors, etc.
·
adopting actions, demeanor, and dress that
are appropriate to each situation
·
keeping confidential information in the
proper circles
Respect
·
arriving on time for classes, appointments,
office hours, and meetings
·
listening to the presentations, comments,
questions, and opinions of others without interruption or ridicule
·
expressing differences of opinion or
dissatisfaction without aggression or personal attacks on others
·
avoiding actions or words that may harm
others
·
using courteous language in all manner of
communication (verbal, written, electronic)
·
adopting the “golden rule” and treating
others as you would like to be treated – fairly and equitably
Responsibility
·
obeying all Mount Royal policies and rules
(as outlined in the Calendar) and applicable civil and criminal legislation
·
accepting responsibility and consequences if
deadlines are missed or established requirements are unmet
·
managing personal, career, and academic
progress (i.e., not relying on others for reminders of course, program,
professional certification, or other requirements)
·
meeting commitments
Honesty
·
refraining from all forms of academic
dishonesty (e.g., representing the work of others as original, using prohibited
aids during examinations, etc.)
·
being truthful in dealings with other
constituents in the