No offerings have been identified for this subject in 2015
STA447 Advanced Business Statistics (8)
Abstract| This subject examines the use of statistical tools available for analysis. Statistical techniques are examined within typical 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. Students should be able to use the skills developed in this subject to support their work in practical problems. |
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+ Subject Availability Modes and Location
Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: STA447
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Computing and Mathematics |
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Enrolment restrictions| Not available to students who have completed STA217 or STA201 or QBM217 |
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| Incompatible subject(s) |
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| QBM217 STA201 STA217 |
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Learning OutcomesUpon successful completion of this subject, students should:
. be able to demonstrate an understanding of the theoretical foundations underlying 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 applications;
. be able to employ recognised industry standard software to carry out the necessary data storage, manipulation and analysis;
. be able to use and interpret the results of statistical analyses in practical problems. |
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SyllabusThe 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. |
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The information contained in the 2015 CSU Handbook was accurate at the date of publication: 01 October 2015. The University reserves the right to vary the information at any time without notice.
