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Saint Mary's University MGSC 2207 Course Outline Spring 2024

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Bachelor of Commerce | bcomm.advising@smu.ca
MGSC 2207; Introductory Statistics
Spring 2024
Day and Time
Section
Location
Instructor Information:
Dr. Davod Hosseini (link to my profile) 1
MW 5:30pm-8:30pm
Remote (Zoom)
Office Location: SB 116
Join Zoom Meeting:
https://smu-ca.zoom.us/j/85008563826?pwd=1Bq9mVW8AMOETFctpcnfYTBH4oc911.1
Email: Davod.Hosseini@smu.ca
Meeting ID: 850 0856 3826
Office Hours: by Appointment
Passcode: 902044
Course Description
This course is designed to introduce some common decision aids for coping with uncertainty. Topics
include: data collection, summarization and presentation, reporting and interpreting the accuracy of
results, evaluating the effectiveness of a decision and determining relationships among factors for the
purpose of prediction. Examples will be drawn from a variety of fields and disciplines. Since the analysis
of data will involve the use of a computer, it is strongly recommended that a course such as CISY
1225 be completed beforehand.
Credit Hours: 3
Course Prerequisite(s):
• MGSC 1206 or MGSC 1207
BCOM Program Learning Goals
A. Business Knowledge and Competency – Graduates both acquire and use business
knowledge and professional skills successfully.
B. Communication – Graduates communicate effectively and professionally using a variety of
communication modes appropriate to various business contexts.
C. Critical Thinking – Graduates use an evidence-based approach to critically assess situations
and make business decisions.
D. Digital Literacy and Fluency – Graduates leverage current technologies to achieve
organizational objectives.
E. Entrepreneurial Mindset – Graduates identify and make the most of opportunities, overcome
and learn from setbacks, and succeed in a variety of settings.
F. Global Perspective – Graduates have an expanded and inclusive worldview and intercultural
competency.
G. Social Responsibility and Sustainability – Graduates have the knowledge and skills to make
a positive impact on people, organizations, and the planet.
This PDF document outlines a more detailed version of the Program Learning Goals (PDF).
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Course Overview and Approach
The course has been organized into four modules, each presenting similar material. Module
I introduces the study of business statistics. Students will first be familiarized with what statistics are,
the concepts of descriptive and inferential statistics, and levels of data measurement. You will then be
introduced to some essential and basic statistics that will be used to both summarize data and as tools
for techniques taught later in the course. There will also be a discussion of distribution shapes. At the
end of this module, the basic laws of probability are presented. The notion of probability underlies
virtually every business statistics topic and technique, thereby making it important to acquire an
appreciation and understanding of probability.
Module II of the course introduces students to the concept of statistical distribution. In lay terms, a
statistical distribution is a numerical or graphical depiction of frequency counts or probabilities for
various values of a variable that can occur. Distributions are important because most of the analyses
done in business statistics are based on the characteristics of a particular distribution. Information
about sampling is also discussed in this module, along with sampling distributions.
With the background from the first two modules in place, the course moves to Module III, which
discusses inference about population parameters (such as means, proportions, and variances). The
ability to estimate population parameters or to test hypotheses about population parameters using
sample statistics is one of the main applications of statistics in improving decision-making in business.
Whether estimating parameters or testing hypotheses about parameters, the inferential process
consists of taking a random sample from a group or body (the population), analyzing data from the
sample, and reaching conclusions about the population using the sample data. The confidence interval
is one widely used technique for estimating population measures (parameters) from a sample using
statistics. Confidence interval estimation is generally reserved for instances where a business
researcher does not know what the population value is or does not have a very clear idea of it.
Sometimes, a business analyst already knows the value of a population parameter or has a good idea
but would like to test to determine if the value has changed, if the value applies in other situations, or
if the value is what other researchers say is. In such cases, business researchers use hypothesis tests.
In the first three modules of the course, students are introduced to basic statistics, distributions, and
how to make inferences through confidence interval estimation and hypothesis testing. In Module IV,
we explore relationships between variables through regression analysis and learn how to develop
models that can be used to predict one variable by another variable or even multiple variables.
Course Objectives
By the end of this course, students should be able to:
• Summarize and present statistical data using tools in descriptive statistics
• Analyze statistical data using tools from inferential statistics
• Identify the appropriate statistical models to be used in analyzing data
• Draw inferences and use the results of statistical analyses to make decisions
Required and Recommended Texts and/or Materials
Black, Bayley, Castillo: Business Statistics for Contemporary Decision Making, 4th Canadian Edition,
Wiley, 2023.
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Each text is bundled with an access package for the course resources and support, WileyPLUS. There
is no separate paper-copy study guide; that is, study aids, summaries, practice questions, exercises,
and self-tests are all online within WileyPLUS.
As an alternative to purchasing the text/WileyPLUS package, students may choose to purchase only
a WileyPLUS access code. This provides access to the full textbook online, as well as to the practice
problems and solution manuals, tests, and all other WileyPLUS resources and support.
The text and WileyPLUS are available through wileyplus.com directly. Note that the e-text and all its
materials can only be accessed through WileyPLUS and NOT through Brightspace. You can obtain a
free trial for them before the purchase. More details will be sent out before the beginning of the classes.
Instructional Approach
Course Website
Announcements, lecture slides and videos (if available), instructor’s notes, supplementary materials
(other than WileyPLUS resources), and exam information will be posted on SMU Brightspace.
Lectures
Attendance is encouraged, but not required. Tests and exams will only include material that is in
the textbook. In the lectures, this material may be explored in more detail or communicated in other
ways that might facilitate learning.
Non-graded Quizzes
To engage students during class, “Concept Check” questions (multiple choice, discussion, numeric
answer) will be presented, which can be answered through your computer or smartphone. Students
are encouraged to participate to check if they have understood the concept and/or to practice the
methodology. However, since attendance is not mandatory, these questions do not factor into your
course grade.
Practice Questions and Problems
The textbook and WileyPLUS provide many study questions and problems with solutions in every
chapter. Students are highly encouraged to go through them for each subsection of each lesson and
solve them on their own. This will give students extra examples in addition to those discussed in class,
which will help them better understand the concepts and further practice the methodologies taught.
Excel Ability
Students must have a preliminary level of ability with Excel. This level of Excel ability will serve you
extremely well in the business world, providing a personal competitive advantage.
• Excel video training provided by Microsoft (available for free)
o Minimum requirement knowledge for this course: Intro to Excel, Rows & Columns,
Cells, Formatting, Formulas and Functions, Tables, and Charts.
Getting Extra Help - Office Hours and Email
Office hours and appointments may be in-person or via Zoom, depending upon current health
restrictions and the instructor’s preference. You may seek extra help through emails. Normally,
instructors will respond to email inquiries within 24 hours, except on weekends.
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Evaluation
Student evaluation consists of 11 online tests, one midterm exam (on Class 6), and a final exam (during
the formal examination period) as weighted below.
Online Tests (WileyPLUS)
30%
Midterm Exam
30%
Final Exam (non-cumulative) 40%
Bonus for class participation
5%
Tests will be posted on WileyPLUS. Each test will consist of several multiple-choice and/or shortanswer questions. A maximum of two attempts will be allowed for each question. Students are to
complete each test by the due date and time (as explained in the “Weekly Schedule” section below).
Submissions will not be accepted after the deadline for any reason. Note that the lowest test mark will
be dropped, and the remaining 10 test marks will be used in the calculation of the final grade.
NOTE:
• Students who do not take the midterm or final exam will fail the course.
•
In order for students to pass this course, it is NOT enough to just achieve an overall weighted
average of at least 50%; students are required to obtain a minimum average of 50% from the
midterm and final exams. For example, if you get 85% on the online tests, 45% on the midterm
exam, and 45% on the final exam, your overall weighted average will be 0.3 85% + 0.345%
+ 0.445% = 57%, which is greater than 50%, but the average of the midterm and final exams
will be
45% + 45%
2
= 45%, which is less than 50%, and therefore you will NOT pass the course.
Note that the midterm and final exams are closed book; however, a formula sheet will be provided. It
will contain the formulas given at the end of each textbook chapter (under “End-of-Chapter Review”).
The pertinent tables given under “Appendix A” of the textbook will also be provided during the exams.
Grading System
The numeric grades students earn in this course convert to a letter grade as follows:
Grade
A+
A
AB+
B
BC+
C
CD
F
IP
Grade Points
4.30
4.00
3.70
3.30
3.00
2.70
2.30
2.00
1.70
1.00
.00
---
Percentage Points
90-100
85-89
80-84
77-79
73-76
70-72
67-69
63-66
60-62
50-59
0-49
---
Rating
Excellent
Good
Satisfactory
Marginal
Failure or withdrawal after deadline
In Progress
Students should note they may choose to select a Pass (P) or No Credit (NC) grade. Students can
contact Academic Advising for more information and review the information on the following website:
www.smu.ca/academics/pass-no-credit-grading-option.html
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Refer to Academic Regulations 4 and Academic Regulation 5 in the Undergraduate Academic
Calendar to learn more about the grading system and regulations governing grades for undergraduate
students.
Late or Missed Assignments, Tests, Mid-term Exams, or other
Due Dates
In the case of extenuating circumstances that will or have resulted in a missed test or examination
during the teaching period (prior to the start of the formal final examination period), students should
complete and submit to their instructor a Declaration of Extenuating Circumstances form (along
with supporting documentation), available from the student’s Academic Advising Office.
Review Academic Regulation 8 in the Undergraduate Academic Calendar for more information on
Tests, Examinations and Evaluations.
NOTE:
• Travel plans or other elective arrangements are not acceptable grounds for requesting a
deferred midterm examination.
•
Since there will be enough time frame for completing the tests, late submissions will not be
accepted after the deadlines for any reason.
Deferred Final Examinations
If, due to extraordinary circumstances, you are unable to write a required final examination on the
assigned date/time, you may be eligible for a deferred examination.
Students who wish to have a request considered must submit an electronic request for a deferred
examination. This request must be accompanied by an explanation of the circumstances which made
it impossible for the student to write the regular examination or complete a final assignment. Supporting
documentation is typically required for a deferred examination request.
Students should submit their deferred exam request within seven (7) calendar days of the date of the
exam or deadline of a final assignment. Students should understand that deferred exam requests are
not automatically approved. Your request will be reviewed, and a decision communicated, within one
(1) calendar week.
Review Academic Regulation 10 for more information on Deferred Examinations.
Other Course Policies
•
Activities that disrupt the class, or disturb others, will not be tolerated. Students are expected
to behave in a courteous, professional, business-like manner during classes. You are not
required to attend classes, but if you attend, then appropriate behavior is mandatory.
Inappropriate and unacceptable behaviors include using insulting language or tone of voice,
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disrespecting or ridiculing opinions of classmates, disruptive behavior, and failure to participate
actively in classroom activities assigned during class by the instructor. Please demonstrate
respect for others in the class.
•
There are ample opportunities to cheat on online tests/exams. Please don’t. The vast majority
of students are honest and hard-working. If you cheat and your actions go undetected, it is your
loss. The material in this course is basic, but essential for success in organizations today. It
will give you an advantage in the marketplace. It should also prove useful in doing projects in
future courses.
Instructor Copyright
The materials provided to students in this course are subject to Canadian copyright law. Further
reproduction, dissemination, downloading, or sharing may not be allowed unless permitted by an
exception in the Copyright Act or with permission from the copyright holder.
Instructors own the rights to the content they create, and it is intended for personal student use in this
class. Posting this content on external sites or sharing it with people outside of the class without
permission may be an infringement of copyright.
Third party copyrighted materials have been licensed for use for this class or are covered under an
exception in the Canadian Copyright Act. Any further use is subject to the terms of the Act unless with
express permission from the copyright holder.
Learn more about copyright at SMU for faculty, staff, and students.
Important Academic Policies, Regulations, and Information
Academic Integrity and Student Responsibility
To maintain a culture of academic integrity, members of the Saint Mary’s University community are
expected to promote trust, honesty, fairness, and respect. Saint Mary’s University expects that
students will conduct themselves in compliance with Academic Regulation 18 on Academic Integrity
and Student Responsibility.
Important Academic Dates
Students should review important academic dates and specific drop and withdrawal dates for this
course on the University Academic Calendar of Events website. Students who are on financial aid
should consult with the Financial Services before dropping a class. International students should
consult with Academic Advising and the International Student Centre before dropping a course. All
students are also encouraged to speak with an academic advisor about how dropping a course may
impact their degree progress and goals. Learn more about course withdrawal dates and deadlines
and the tuition refund schedule.
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May 9 | Last day to drop a course with a full refund
This is the last day a student can drop a class from their academic record without having to pay
for the class and without the class showing on their permanent student record.
June 5 | Last day to withdrawal from a course, with a “W”
This is the last day you can remove yourself (withdraw) from a class and receive a “W” as a final
grade in the course. Students are responsible for payment of the course. A “W” grade does not
impact your earned credits or grade point average.
Code of Student Conduct
The SMU Code of Student Conduct is focused on non-academic standards of behavior and seeks to
define the rights and responsibilities of students as members of the University community. Students
are responsible for their conduct and need to be prepared to accept the consequences of choices
made. Learn more about the Code of Student Conduct.
Support for Student Accessibility
Saint Mary’s University strives to make all classroom and virtual content accessible to all students. If
you are a student with a disability and would like to discuss academic accommodations, please be
sure to register with the Fred Smithers Centre for Student Accessibility, located on the 3rd floor of
the Student Centre.
Students are encouraged to register as early in the semester as possible to ensure adequate time to
arrange for approved academic accommodations, and/or assistance with accessibility needs such as
assistive technology and support during tests and exams. Please note that student information at the
Fred Smithers Centre is kept confidential and only shared with other members of the university
community on a need-to-know basis.
Online Learning Resources
Students can learn more about how to be an online student using the resources provided by the
Software and Application Support (SAS) Centre. Students can get information on how to adjust their
academic life with information on how to approach time management, study spaces, and tips for
maintaining healthy study and work habits.
To ensure students are prepared to use the Brightspace Learning Management System (LMS) for their
courses, the University provides various supports, including online videos and reference material
explaining different features. Students wanting to have a successful online course experience can visit
the SAS Centre web pages to learn more about Brightspace support for students.
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Early Assist Program
This course participates in the Early Assist program. Early Assist is a university-wide program that is
designed to proactively assist students with their study skills, class attendance, academic/personal
support, and ensure you are on the right track in your course. Throughout the academic term, alerts
may be submitted by your professor for students in the course that identify factors that may be
impacting your academic progress or wellbeing. A member of the Early Assist Care Team may reach
out to you through your preferred email during the term to check in, offer support, or to connect you to
other campus resources.
Your participation in Early Assist is voluntary. Early Assist is not connected to your academic record
and all of your information is protected under Nova Scotia’s Freedom of Information and Protection of
Privacy Act (FOIPOP). The only people able to review information submitted through Early Assist are
the relevant Early Assist team members who will reach out to you. Professors are only able to see
information they have submitted. They can not view an alert submitted by another Professor. For more
information, visit www.smu.ca/earlyassist/welcome or email earlyassist@smu.ca.
Important Resources for Students
Learn more about other resources and services available to support students:
BComm Academic Success & Advising Centre
• Email Contact: bcomm.advising@smu.ca
BComm Academic Success Program
•
Email Contact: bcomm.advising@smu.ca
Black Student Advisor
• Email Contact: blackstudentlife@smu.ca
Career and Experiential Learning
• Email Contact: cel@smu.ca
The Counselling Centre
• Email Contact: counselling@smu.ca
Fred Smither’s Centre of Support for Student Accessibility
• Email Contact: fredsmithers.centre@smu.ca
Indigenous Student Advisor
• Email Contact: indigenous.advisor@smu.ca
International Student Centre
• Email Contact: international.centre@smu.ca
Learning Skills Strategist – Student Success Centre
• Email Contact: studentsuccess@smu.ca
Patrick Power Library
• Email Contact: access@smu.ca
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Saint Mary’s University Students’ Association
• Email Contact: info@smusa.ca
Software and Application Support (SAS) Centre
• Email Contact: sas@smu.ca
Writing Centre
• Email Contact: writing@smu.ca
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Weekly Schedule
Class
MW
Topics
Textbook
Module I: Introduction
1
2
May 6
May 8
Course Organization & Introduction
Descriptive Statistics
• Basic Statistical Concepts
o Sample vs Population
o Variables, Data, and Data Measurement
o Descriptive and Inferential Statistics
• Frequency Distributions & Histograms
• Measures of Central Tendency & Variability
1.1
1.2
2.1
2.2
3.1
3.2
3.4
Probability
• Structure of Probability
• Union and Intersection
• Addition and Multiplication Laws
• Conditional Probability
• Bayes’ Rule
4.1
4.2
4.3
4.4
4.5
4.6
4.7
Test #1 (Class 1) & Test #2 (Class 2) due date: Sunday, May 12, 11:59pm
Module II: Distributions and Sampling
3
May 13
Discrete Distributions
• Describing Discrete Distribution
• Mean and Standard Deviation of a Distribution
• Binomial Distribution
• Poisson Distribution
5.1
5.2
5.3
5.4
4
May 15
Continuous Distributions
• Describing Continuous Distribution
• Uniform Distribution
• Exponential Distribution
• Normal Distribution
6.1
6.2
6.4
Test #3 (Class 3) & Test #4 (Class 4) due date: Sunday, May 19, 11:59pm
No
class
May 20
Administrative Offices closed. No classes - Victoria Day.
5
May 22
Sampling & Sampling Distributions
• Sampling Types and Errors
• Central Limit Theorem
o Sampling Distribution of 𝑥̅ (Sample Mean)
o Sampling Distribution of 𝑝̂ (Sample Proportion)
7.1
7.2
7.3
Test #5 (Class 5) due date: Sunday, May 26, 11:59pm
6
May 27
MGSC 2207 Course Outline
MIDTERM EXAM (Classes 1-5)
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Bachelor of Commerce | bcomm.advising@smu.ca
Class
MW
Topics
Textbook
Module III: Inferences about Population Parameters
7
May 29
Confidence Intervals
• Estimating Population Mean
• Estimating Population Proportion
• Minimum Required Sample Size
8.1
8.2
8.3
8.5
Test #6 (Class 7) due date: Sunday, Jun 2, 11:59pm
8
Jun 3
Hypothesis Testing
• Introduction to Hypothesis Testing
• Test of Hypotheses for Population Mean
• Test of Hypotheses for Population Proportion
9.1
9.2
9.3
9.4
9
Jun 5
Statistical Inferences about Two Populations
• Confidence Intervals and Hypothesis Tests for Two
Population Means
• Confidence Intervals and Hypothesis Tests for Two
Population Proportions
10.1
10.2
10.3
10.4
Test #7 (Class 8) & Test #8 (Class 9) due date: Sunday, Jun 9, 11:59pm
10
Jun 10
Analysis of Variance
• Introduction to Design of Experiments
• One-Way Analysis of Variance (ANOVA)
Chi-Square Test
• 𝜒 2 Goodness-of-Fit Test
• 𝜒 2 Test of Independence
11.1
11.2
16.1
16.2
Module IV: Regression Analysis
11
Jun 12
Simple Regression
• Correlation
• Determining the Equation of the Regression Line
• Residual Analysis
• Standard Error of the Estimates
• Coefficient of Determination
• Hypothesis Tests of Slope of the Regression Model
and Testing the Overall Model
12.1
12.2
12.3
12.4
12.5
12.6
12.7
12.8
12.10
Test #9 (Class 10) & Test #10 (Class 11) due date: Sunday, Jun 16, 11:59pm
12
Jun 17
Multiple Regression
• The Multiple Regression Model
• Significance Tests of the Regression Model and its
Coefficients
• Residuals, Standard Error of the Estimate, and R2
• Indicator (Dummy) Variables
13.1
13.2
13.3
13.4
14.2
Test #11 (Class 12) due date: Wednesday, Jun 19, 11:59pm
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Class
MW
Topics
Textbook
FINAL EXAM (Classes 7-12):
during formal examination period
*** Note that the above schedule is tentative and may need revision. Schedule revisions will be posted.
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