Course

Business Statistics II

Faculty
Commerce & Business Administration
Department
Business
Course Code
BUSN 3431
Credits
3.00
Semester Length
15 Weeks X 4 Hours per Week = 60 Hours
Max Class Size
35
Method(s) Of Instruction
Lecture
Seminar
Typically Offered
To be determined

Overview

Course Description
This course covers advanced topics in quantitative analysis including: analysis of variance, time series and forecasting, linear and multiple regression, and decision analysis. The focus is to develop understanding of the use of data, data analysis, statistical inference and model building as applied to business decisions and to be able to assess the validity and interpret the meaning of statistical information. Spreadsheets and statistical software will be utilized in problem-solving. Students are expected to already have basic Excel skills.
Course Content
  1. Review of Statistics: sampling methods, interval estimation and hypothesis testing, 1 and 2 populations
  2. Chi-square applications and pivot tables
  3. Non-parametric techniques for analysis of categorical and ranked data
  4. ANOVA and basic principles of experimental design
  5. Linear Regression, Correlation and Scatterplots: interpreting r and R2, t and F tests, examining residuals, estimation and prediction, computer solutions
  6. Multiple Regression and Model Building: meetings assumptions and conditions, examining residuals and diagnostics, adding qualitative variables, log and other transformations
  7. Forecasting and Time Series:  components, smoothing, trend projection, seasonality, accuracy, projection using regression.
  8. Decision Analysis:  structuring the problem, decision-making under certainty and risk, expected value, graphical sensitivity analysis
  9. Index numbers and more Linear Programming applications (if time permits)
Learning Activities

Lectures and computer seminars.

Means of Assessment
Final Examination        30%
Term Tests 20%-40%*
Research Project(s) 10%-30%
Assignments/Quizzes 10%-20%
Participation    0%-5%
       100%

 *Includes at least 5% related to statistical analysis using computers.

Students must obtain a grade of at least 50% on the combined examinations/tests to obtain credit for the course.

Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with College policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the ÁñÁ«ÊÓƵ Research Ethics Board prior to conducting the research.

Learning Outcomes

The student will be able to:

  1. create interval estimates and conduct hypothesis tests of means and proportions to assess statistical and practical significance;
  2. analyze categorical data using pivot tables and chi-square analysis;
  3. build and apply regression models for estimation and prediction;
  4. develop forecasts using smoothing techniques and regression;
  5. analyze decisions using probability theory;
  6. use computer spreadsheets and statistical software in solving statistical problems.
  7. assess validity and appropriateness of statistical techniques and study design.
Textbook Materials

Textbooks and Materials to be Purchased by Students

Sharpe, DeVeaux, Velleman and Wright. Business Statistics, latest Cdn ed., Pearson Canada

or Donnelly, Robert A. Jr..; Business Statistics, latest ed., Pearson

or similar Business Statistics textbook as approved by department

Department approved Business Calculator

Requisites

Prerequisites

(BUSN 2429 or MATH 1160) with a minimum grade of C

Corequisites

No corequisite courses.

Equivalencies

Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses

Course Guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.

(Current)

Course Transfers

These are for current course guidelines only. For a full list of archived courses please see

Institution Transfer Details for BUSN 3431
Athabasca University (AU) AU MGSC 312 (3)
BC Institute of Technology (BCIT) BCIT OPMT 1130 (5.5) or BCIT OPMT 1197 (4.5)
Camosun College (CAMO) CAMO BUS 231 (3)
Capilano University (CAPU) CAPU BADM 310 (3)
Coast Mountain College (CMTN) CMTN MATH 251 (3)
College of New Caledonia (CNC) CNC MATH 2XX (3)
College of the Rockies (COTR) COTR STAT 1XX (3)
Fairleigh Dickinson University (FDU) FDU DSCI 2130 (3)
Langara College (LANG) LANG STAT 3222 (3)
Northern Lights College (NLC) NLC MATH 104 (3) & NLC MGMT 290 (3)
Simon Fraser University (SFU) SFU STAT 101 (3) or SFU STAT 201 (3) or SFU STAT 203 (3)
Thompson Rivers University (TRU) TRU ECON 3XXX (3)
Trinity Western University (TWU) TWU BUSI 275 (3)
University Canada West (UCW) UCW MATH 200 (3)
University of British Columbia - Vancouver (UBCV) UBCV COMM_V 191 (3)
University of British Columbia - Vancouver (UBCV) DOUG BUSN 2290 (3) & DOUG BUSN 2429 (3) & DOUG BUSN 3431 (3) = UBCV COMM_V 190 (3) & UBCV COMM_V 191 (3)
University of British Columbia - Vancouver (UBCV) DOUG BUSN 2290 (3) & DOUG BUSN 2429 (3) & DOUG BUSN 3431 (3) = UBCV COMM 190 (3) & UBCV COMM 191 (3)
University of Northern BC (UNBC) UNBC ECON 2XX (3)
University of Victoria (UVIC) UVIC STAT 256 (1.5)
Vancouver Community College (VCC) VCC HOSP 3910 (3)
Vancouver Island University (VIU) VIU QUME 436 (3)

Course Offerings

Winter 2025

CRN Days Instructor Status
Maximum Seats
35
Currently Enrolled
0
Remaining Seats:
35
On Waitlist
0
Building
Anvil Office Tower
Room
809
Times:
Start Time
11:30
-
End Time
14:20
CRN Days Instructor Status
Maximum Seats
35
Currently Enrolled
0
Remaining Seats:
35
On Waitlist
0
Building
Anvil Office Tower
Room
807
Times:
Start Time
18:30
-
End Time
21:20
CRN Days Instructor Status
Maximum Seats
35
Currently Enrolled
0
Remaining Seats:
35
On Waitlist
0
Building
Anvil Office Tower
Room
809
Times:
Start Time
12:30
-
End Time
15:20