Data analysis in business (6 points)
(BUS)
Leader: Dr Ann Maharaj
Offered:
Caulfield Second semester 2004 (Day)
Caulfield Second semester 2005 (Day)
Synopsis:
Objectives: On successful completion of this unit students will be able to access appropriate databases and obtain relevant time series or cross sectional data and carry out statistical analyses of the data; discuss the applicability of standard sampling designs to a particular business context and use Excel to generate simple random, systematic, stratified and probability proportional to size samples. They will demonstrate an understanding of the role of inference and hypothesis testing in statistics, and their value when applied in financial, marketing and management fields. They will obtain confidence intervals for means, proportions and variances of populations and confidence intervals for differences between mean and proportion of two populations. They will use Excel to generate the results of hypothesis testing and interpret these results. They will demonstrate an understanding the role of various types of regression models in statistics, and their applications in financial, marketing and management disciplines. models involving nonlinear terms. They will demonstrate an understanding the role of time series methods in statistics, and in their applications in finance, marketing and management disciplines
Assessment: 2 Projects totalling 40% + Examination (2 hours): 60%
Contact Hours: One 2-hour lecture and one 1-hour laboratory/tutorial session per week
Prerequisites: ETX1100 or AFX9510
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