QBM217 Advanced Business Statistics (8)
CSU Discipline Area: Mathematics and Statistics (MASTA)
Duration: One session
Abstract:
This subject extends the set of statistical tools available for the analysis of business situations. Further statistical techniques are examined within typical business applications. Topics include inferences about differences of means and proportions; standard deviation; comparison of variances; chi squared tests of goodness-of-fit and independence; analysis of variance; multiple linear regression; factor analysis; binary regression; further business forecasting methods and non-parametric statistics. Extensive use is made of a statistical computer package.
+ Subject Availability Modes and Locations
| Session 1 | |
|---|---|
| Distance | Bathurst |
Continuing students should consult the SAL for current offering details: QBM217
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
Assumed Knowledge:
Enrolment restrictions:
Not available to students who have completed STA217 or STA201 or STA447
Objectives:
Upon successful completion of this subject, students should:
* be able to demonstrate an understanding of the theoretical foundations underlying the different statistical techniques;
* be able to demonstrate appreciation of the assumptions and consequent limitations of each technique;
* be able to identify and apply appropriate statistical methods in a variety of industrial and business applications;
* be able to employ recognised industry standard software to carry out the necessary data storage, manipulation and analysis.
Syllabus:
The subject will cover the following topics:
. Review of elementary concepts of statistical inference concerning a mean and a proportion. . Inference on a pair of means or a pair of proportions. . The Chi-squared distribution and inference on a single standard deviation. Tests of goodness-of-fit and of independence of two qualitative variables. . The F distribution and inference on a pair of variances. . One-way analysis of variance, and multiple comparisons of treatment means, and underlying assumptions. . Simple linear regression, interpretation and inference on the regression as a whole, the regression coefficients. The underlying assumptions and residuals analysis. . Multiple linear regression, interpretation and inference on the regression as a whole, the regression coefficients. Underlying assumptions and residuals analysis, polynomial regression, transformations. Multicollinearity, and factor analysis. . Binary regression, interpretation and inference on the regression as a whole. Underlying assumptions and residual analysis. . Nonparametric tests, including Wilcoxon rank sum and signed ranks, runs and Spearman's rank correlation, and Kruskal-Wallis test.
The information contained in the 2013 CSU Handbook was accurate at the date of publication: 24 April 2013. The University reserves the right to vary the information at any time without notice.