Please Note: This Presentation is by way of an announcement only and the Instructor and/or Kwantlen
Polytechnic University reserve the right to make changes as deemed necessary.
KWANTLEN POLYTECHNIC UNIVERSITY
BUQU 1230 S18 – Fall 2017
COURSE NAME:
BUSINESS STATISTICS
CLASS HOURS:
Mondays
INSTRUCTOR:
Meena Bhagat, B.Sc. (Herts.), M.A. (Royal Roads)
OFFICE:
Surrey Campus – Fir 141
E-mail: meena.bhagat@kpu.ca
OFFICE HOURS:
BY APPOINTMENT ONLY
13:00 – 15:50
CLASSROOM: Cedar 1050
Mondays
Tuesdays
Thursdays
Face-to-Face (Office):
Surrey Fir 141
12-1pm
9-10am and 4-5pm
1-2pm
Online (Skype):
meenabhagat120
Monday-Friday
9-10pm
REQUIRED TEXT: Levine, Stephan & Szabat (2016). Statistics for Managers Using Microsoft Excel, (8th
Edition) (older editions are okay.)
EXCEL:
We’ll be using Excel to do most of our calculations. I’ll show you how to use the
statistical functions of Excel, but we do assume a basic familiarity with Excel. If you’ve
never used Excel before, it’s your responsibility (and a good idea) to get up to speed with
Excel as soon as possible.
EMAIL:
Messages will be returned within 2 working days. During this course, your student email
account with MyKwantlen must be used for communication. Emails from other email
addresses (gmail, hotmail, etc) will not be answered. Include your Course and Section
number in the Subject line of your email. e.g.: BUQU 1230 S18
1.
CALENDAR DESCRIPTION
BUQU 1230 will introduce you to the basic principles of descriptive and inferential statistics. Topics will
include summarizing and presenting data, probability distributions, sampling distributions, confidence intervals,
hypothesis testing and regression analysis. The application and interpretation of Microsoft Excel is a key part of
this course.
BUQU 1230 – S18
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2.
LEARNING OBJECTIVES/OUTCOMES
A student who successfully completes the course will have reliably demonstrated the ability to:
 construct and interpret tables, graphs, and descriptive measures to summarize and present business data
 calculate probabilities of particular events and interpret these probabilities within specific business
contexts
 apply statistical inference to calculate and interpret probabilities from sampling distributions to make
business decisions
 construct and test hypotheses and interpret the results to reach valid conclusions
 demonstrate understanding of fundamental statistical concepts and apply critical thinking to statistical
analysis and its interpretation
3.
COURSE CONTENT
Course content will include but is not restricted to the following:
 describing data with graphs and numeric measures
 probability theory
 discrete and continuous probability distributions
 large and small sample estimation and inferences about populations
 tests of hypotheses and estimation---one, two and multiple samples
 sampling methods
 correlation, simple and multiple linear regression.
4.
ESSENTIAL SKILLS
A student who successfully completes the course will have reliably demonstrated the following essential skills:
Creative thinking and problem solving skills
 identifying, analyzing and solving complex problems
Interpersonal skills
 working effectively with others in classroom to analyze problems
Personal management and entrepreneurial skills
 attending classes and regularly and punctually
 meeting assignment deadlines
 time management and organisation skills
Reading skills
 reading and comprehending the textbook
Visual Literacy
 building and interpreting statistical graphs
Mathematical skills
 applying problem-solving techniques to identify, solve and analyze statistical problems
Technological skills
 using statistical software to structure, analyze and interpret problems
5.
LEARNING ACTIVITIES
Activities may include, but are not restricted to, the following:
 attending lectures and taking notes
 reading and comprehending the textbook
 working on assignments
 using statistical software to solve problems
 participation in class discussions and activities
 collection of data
BUQU 1230 – S18
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6.
EVALUATION
Type
Assignments
Midterm 1
Midterm 2
Midterm 3
Final Exam
7.
Mark
10%
15%
15%
20%
40%
POLICIES
Expectations

Attending classes at Kwantlen Polytechnic University (KPU) is restricted to registered students or others
provided the express permission of the course instructor. Students may be requested to show their KPU
ID card as proof of registration. Students who are unable to show their KPU ID card may be asked to
leave the classroom until such proof can be provided.

Regular class attendance is expected.

Students are responsible for all announcements made in class, whether the student is present or not.
Should a student miss a class, the student is responsible for making up the material missed before the
next class.

Students are responsible for maintaining a classroom atmosphere that will promote and encourage
learning.

No food or drink is allowed in the lab or classroom.

Cellular phones and other electronic devices are to be TURNED OFF during classes and examinations.

THIS CLASS GOES AT A VERY FAST PACE – YOUR COMMITMENT IS CRITICAL.
Assignments

All assignments are to be INDIVIDUAL effort only, unless otherwise specified by your instructor.
Assignments are due on the specified due date, unless specified otherwise. Late assignments will not be
accepted.
Workload

To be successful in any university course, the student must be prepared to spend a number of hours
working on their own outside of scheduled class time. Be prepared to spend at least 4 to 8 hours each
week in the lab working on assignments or projects.

This course requires extensive reading and work in the computing lab. Students are required to prepare
for each class by reading the related topics and completing related hands-on exercises in the textbook
BEFORE each class. Topics to be covered are outlined in the Semester Schedule. Students will be
informed of any changes to the Semester Schedule in class.
Exams

Please be aware, in order for a student to write either a mid-term or a final exam, they must
present their KPU ID card at the beginning of the exam period. Students who are unable to provide
their KPU ID may be asked to leave the room or allowed to show two pieces of government issued
picture ID in its place.

All exams must be written on the date and time outlined in the Course Presentation (unless revised by
the instructor). The final examination must be written on the date and at the time published in the Course
Timetable. Students not present during the scheduled examination period will be given a ZERO on the
exam.
BUQU 1230 – S18
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
Students late for an exam will NOT be provided with extra time. Once a student leaves the examination
room, they will not be allowed into the examination room during the remainder of the exam period.
Once the examination commences, there will not be any interaction between students. If a student uses
e-mail or any web based product during an exam, he/she will receive a mark of zero for the entire exam.

If an exam paper is taken out of the classroom before it is marked, the student will receive a mark of
zero for that exam. In cases of cheating, the student may also receive zero for the exam.

Students should make an appointment with the instructor to review the results of an exam or assignment
within two weeks of the exam or assignment marks being returned.
NOTE:
If you will be missing a graded evaluation due to medical reasons, you are required to produce a note
from a physician. The note must clearly state the reason and dates that you are unable to satisfy course
requirements. The University reserves the right to contact the physician’s office, not to discuss
confidential specifics, but to verify that the note is legitimate. Accommodation may require the student
to write an exam in the Testing Centre and the invigilation fee (currently $30) is the student’s
responsibility.
There is no excuse for data loss due to network errors or software glitches. Students are expected to save
their work regularly to the required location during practical examinations. A zero will be assigned if a
student fails to save their work to the required location.
8.
CHEATING AND PLAGIARISM

Any person who knowingly makes their work available to another student who uses it inappropriately
may also be guilty and will be dealt with on a situational basis.

This applies to all work prepared for this course. You must cite your source, even if it is the course text
book or some article or other material that I give to you for the purposes of an assignment. Failure to do
so will result in loss of marks as appropriate.
Cheating:
is defined as any dishonest or deceptive conduct or attempted conduct by which individuals or
teams of individuals use or attempt to use unauthorized aids, assistance, materials and methods to
represent their academic work(s), as other than they are.
Plagiarism:
is an act in which an individual submits the work of another person as his or her own.
Details regarding these policies can be found at http://www.kpu.ca/policies
It is the students’ responsibility to check the following Web page for policies on plagiarism and cheating:
http://www.kpu.ca/sites/default/files/Policies/ST2%20Student%20Academic%20Integrity%20Policy.pdf
9.
OTHER POLICIES
Refer to these other policies on Student Conduct (Policy ST7) and Diversity and Inclusiveness (Policy HR15).
10. CLASS CANCELLATION
Should a class need to be cancelled, notification of class cancellation will be sent to each student’s KPU email
address by the instructor. Class will be considered to be officially cancelled if the instructor is not in class after
15 minutes.
11. IMPORTANT DATES
NOTE: It is the students’ responsibility to check the following Web page for important dates & deadlines:
http://www.kpu.ca/registration/dates
Be sure to read all of the General Information in your Calendar.
BUQU 1230 – S18
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12. TENTATIVE SCHEDULE OF TOPICS
WEEK
DATE
CONTENT
1
September 4
NO CLASSES
2
September 11
Course Introduction
Chapter 1 – Defining and Collecting Data
3
September 18
Chapter 2 – Organizing and Visualizing Variables
4
September 25
Chapter 3 – Numerical Descriptive Measures
Chapter 4 – Basic Probability
5
October 2
Midterm 1 (Chapters 1-3): 15%
Chapter 4 – Basic Probability (Continued)
6
October 9
THANKSGIVING DAY
7
October 16
Chapter 5 – Discrete Probability Distributions
Chapter 6 – The Normal Distribution and Other Continuous Distributions
8
October 23
Midterm 2 (Chapters 4-6): 15%
9
October 30
Chapter 7 – Sampling Distributions
Chapter 8 – Confidence Interval Estimation
10
November 6
Chapter 9 – Fundamentals of Hypothesis Testing: One-Sample Tests
11
November 13
REMEMBRANCE DAY
12
November 20
Chapter 10 – Two-Sample Tests
Chapter 13 – Simple Linear Regression
13
November 27
Midterm 3 (Chapters 7-10): 20%
Chapter 14 – Introduction to Multiple Regression
14
December 4
Chapter 15 – Multiple Regression Model Building
Chapter 16 – Time-Series Forecasting
FINAL
EXAM
December 11
12:00-15:00
Cedar 1045
Final Exam (Chapters 1-16): 40%
BUQU 1230 – S18
(NOT Chapters 11 & 12)
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