Business Statistics II

Curriculum guideline

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Course
BUSN 3431
Discontinued
No
Course code
BUSN 3431
Descriptive
Business Statistics II
Department
Business
Faculty
Commerce and 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(s) of instruction
Lecture
Seminar
Learning activities

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