ETC1000 - Business and economic statistics

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Overview

Presentation and analysis of grouped and ungrouped data using tables, charts and measures of location and dispersion; standardisation techniques, including index numbers, with application to share price indices and the CPI; analysis of relationships between variables using simple and multiple regression; extensions to multiple regression, including nonlinear and categorical explanatory variables and time series data with applications to forecasting; main ideas of probability theory as a foundation for statistical inference; concept of sampling as a way of capturing uncertainty about data; estimators and their properties; constructing and interpreting confidence intervals; fundamentals of hypothesis testing, testing hypotheses about the mean, difference between means and the slope, including analysis of variance.

Offerings

S1-01-CLAYTON-ON-CAMPUS

S2-01-CLAYTON-ON-CAMPUS

Requisites

Prohibition

Business and economic statistics

ETW1100

6 CP

Introduction to business analytics

FIT1006

6 CP

Business information analysis

SCI1020

6 CP

Introduction to statistical reasoning

STA1010

6 CP

Statistical methods for science

Contacts

Chief Examiner(s)

Professor Brett Inder

Notes

IMPORTANT NOTICE:
Scheduled teaching activities and/or workload information are subject to change in response to COVID-19, please check your Unit timetable and Unit Moodle site for more details.

Assessment

1 - Within semester assessment

2 - Examination

Scheduled and non-scheduled teaching activities

Workshops

Workload requirements

Workload

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.

Learning resources

Required resources