Curriculum Guideline

Business Statistics II

Effective Date:
Course
Discontinued
No
Course Code
BUSN 3431
Descriptive
Business Statistics II
Department
Business
Faculty
Commerce & Business Administration
Credits
3.00
Start Date
End Term
201430
PLAR
No
Semester Length
15 Weeks X 4 Hours per Week = 60 Hours
Max Class Size
35
Contact Hours
Lecture: 3 Hours Seminar: 1 Hour Total: 4 Hours
Method Of Instruction
Lecture
Seminar
Methods Of Instruction

Lectures and computer seminars.

Course Description
This course covers advanced topics in quantitative analysis including: analysis of variance, forecasting, trend analysis using linear and multiple regression, probability, decision analysis, and linear programming. Spreadsheets will be utilized in problem-solving.
Course Content
  1. Review of Statistics: interval estimation and hypothesis testing, 1 and 2 populations.
  2. Inference about Population Variance: Multinomial population, contingency tables, Poisson and Normal Distributions.
  3. Tests of Goodness of Fit and Independence. Chi-squared distribution.
  4. Analysis of Variance.
  5. Linear Regression: Least Squares Method, r and R2, variance, t and F tests, estimation and prediction, computer solution, residuals.
  6. Multiple Regression: Least Squares Method, adjusted R2, t and F tests, multicollinearity, estimation and prediction, qualitative variables, residuals.
  7. Index Numbers:  price indices, computing an aggregate index, deflating a series.
  8. Forecasting and Time Series:  components, smoothing, trend projection, seasonality, projection using regression.
  9. Decision Analysis:  structuring the problem, decision-making with and without probabilities.
  10. Linear Programming:  formulating problems, graphical solutions, computer solutions, sensitivity analysis.
Learning Outcomes

The student will be able to:

  1. carry out interval estimation, hypothesis testing and other analyses related to variance;
  2. conduct tests related to goodness of fit and independence;
  3. find relationships between data sets using regression techniques;
  4. develop forecasts using price indices, smoothing and regression;
  5. analyze decisions using probability theory;
  6. use computer spreadsheets in solving statistical problems.
Means of Assessment
Final Examination         30%
Term Examination (1-3) 40%-50%
Computer Lab Test    5%-10%
Assignments  15%-25%
Participation     0%-5%
        100%
Textbook Materials

Textbooks and Materials to be Purchased by Students

Anderson, D.R., Sweeney et al.  Statistics for Business and Economics, Latest Ed.  Thompson South-Western

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

or similar Business Statistics textbook

 

Supplement:  Linear Programming

Excel spreadsheet applications text as selected by instructor:

Department approved Business Calculator

Prerequisites

BUSN 2429 or BUSN 430