units

ETW2420

Faculty of Business and Economics

Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

print version

6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

LevelUndergraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedMalaysia Second semester 2014 (Day)
Coordinator(s)Dr Akram Hasanov

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'.

Outcomes

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: 60%

Chief examiner(s)

Workload requirements

Minimum total expected workload equals 144 hours per semester

Prerequisites