Monash University Handbook 2010 Undergraduate - Unit

Synopsis

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'.

Objectives

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).

Assessment

Within semester assessment: 40%
Examination (2 hours): 60%

Chief examiner(s)

Mak Kok Sun

Contact hours

One 2-hour tutorial and Two 1-hour lectures per week

Prerequisites

ETW1010 or ETW2111