ETW2420 - Survey methods and managerial statistics - 2019

Introduction to sample survey methods, quality management and statistical techniques for survey data used in business, industry and the public sector. Topics covered include the planning and execution of a survey, sampling methods, quality management and sampling, the design of experiments, analysis of variance and analysis of 'ranked data'.

The learning goals associated with this unit are to:

1. understand how to conduct a survey, including planning, execution and cost-benefit analysis
2. apply concepts of probability and probability distribution to problems associated to survey data
3. describe the role of statistical inference for survey data and applying inference methods to population mean, variance (bound), proportion, and totals
4. use statistical inference methods to determine the optimal sample size for a survey;
5. analyse survey data using experimental design techniques and analysis of variance methods (both for unranked and ranked data)
6. apply statistical quality control methods and survey techniques for data used in business, industry and the public sector, including Six Sigma methodologies
7. demonstrate in the individual summative assessment task a comprehensive understanding of the topics covered in the unit. This is demonstrated by the requirement that the student must attain a mark of at least 40% in the final summative assessment task (final exam).

Within semester assessment: 40% + Examination: 60%

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

See also Unit timetable information