Outline

The planning for the current semester.

with Professor Johan Latulippe
office hours: Thursday 13:00 to 16:00

Course Description


This course provides an introduction to business statistics. Methods of collection, organization, presentation, analysis and interpretation of quantitative data are investigated. These are important techniques for making effective business decisions.

Learning Outcomes


Upon successful completion of the course, students will

  • Introductory Statistical Theory

  • Frequency Distributions & Graphical Representations

  • Numerical Measures of Location & Dispersion

  • Probability Theory

  • Discrete Probability Distributions

  • Continuous Probability Distributions

  • Sampling Methods & the Central Limit Theorem

  • Estimation & Confidence Intervals

  • One-Sample Hypothesis Testing

  • Linear Regression

Course Organization


Your final grade for the course will be based on your performance on written assignments, mid-term tests, and a final examination.

There will be no make-up exam in this course and the class requirements cannot be substituted with any other evaluation method.  Students grades will be based strictly on individual performance in class not on any extraneous factors.

References


  • Lind, Douglas A. et al. (2015) Basic Statistics for Business & Economics, 5th Canadian Edition. McGraw-Hill Ryerson.

Participation  

At the discretion of the instructor, extra marks will be awarded to students who participate in class discussion. 

English Standards  

Assignments must be free of spelling, punctuation and grammatical errors. Assignments containing such errors will be penalized (i.e. mark deductions).

Accommodation  

Students with documented disabilities requiring academic and/or exam accommodation should contact Disability Services in Building 200.

Grading Scale


Evaluation Percentage
Quizzes 15
Midterm 1 25
Midterm 2 25
Midterm 3 25
Final 10
  • Quizzes Random and unpredictable, best three out of six.
  • Midterm 1 30 January 2018
  • Midterm 2 6 March 2018
  • Midterm 3 29 March 2018
  • Final 12 April 2018

Course Schedule

We will cover as much of what follows as possible, but topics may be added or deleted depending upon time since we have to accommodate assessments. The tentative lecture and reading schedule for the thirteen weeks is as follows:

Please Note


  • Students should acquaint themselves with the University’s “Student Conduct Policy”.

  • Students should feel free to ask questions during lectures.

  • Students are responsible for all materials taught in class and readings assigned.

Academic Misconduct


Academic misconduct includes, but is not limited to, giving and receiving information during any test or exam, using unauthorized sources of information during any test; plagiarizing; fabrication, cheating, and, misrepresenting the work of another person as your own, facilitation of academic misconduct, and under certain conditions, non-attendance.

Plagiarism will not be tolerated. You must reference your work and acknowledge sources with in-text citations and a complete list of references. This includes direct and indirect quotes, diagrams, charts, figures, pictures and written material.

For group projects, the responsibility for academic integrity, which can result in academic misconduct and its resulting penalties, rests with each person in the group and sanctions would be borne by each member.

No electronic dictionaries, cell phones or other electronic devices will be allowed in exams/tests/quizzes. Only the following approved calculators may be used in exams/tests/quizzes. Texas Instrument BAII Plus, BAII, BA35 Sharp EL-733A Hewlett Packard 10B No other materials will be allowed on the desktop apart from a pen/pencil unless specifically approved by the faculty member.

Grading Scheme


Letter
Grade
Percentage GPA
A+ 90-100 4.33
A 85-89 4.00
A- 80-84 3.67
B+ 76-79 3.33
B 72-75 3.00
B- 68-71 2.67
C+ 64-67 2.33
C 60-63 2.00
C- 55-59 1.67
F Below 50 0