Lectures and computer seminars.
- Review of Statistics: sampling methods, interval estimation and hypothesis testing, 1 and 2 populations
- Chi-square applications and pivot tables
- Non-parametric techniques for analysis of categorical and ranked data
- ANOVA and basic principles of experimental design
- Linear Regression, Correlation and Scatterplots: interpreting r and R2, t and F tests, examining residuals, estimation and prediction, computer solutions
- Multiple Regression and Model Building: meetings assumptions and conditions, examining residuals and diagnostics, adding qualitative variables, log and other transformations
- Forecasting and Time Series: components, smoothing, trend projection, seasonality, accuracy, projection using regression.
- Decision Analysis: structuring the problem, decision-making under certainty and risk, expected value, graphical sensitivity analysis
- Index numbers and more Linear Programming applications (if time permits)
The student will be able to:
- create interval estimates and conduct hypothesis tests of means and proportions to assess statistical and practical significance;
- analyze categorical data using pivot tables and chi-square analysis;
- build and apply regression models for estimation and prediction;
- develop forecasts using smoothing techniques and regression;
- analyze decisions using probability theory;
- use computer spreadsheets and statistical software in solving statistical problems.
- assess validity and appropriateness of statistical techniques and study design.
| 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 Douglas College Research Ethics Board prior to conducting the research.
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
Courses listed here are equivalent to this course and cannot be taken for further credit:
- No equivalency courses