Overview

This unit is designed to give students an introduction to statistical and quantitative methods within a business-related framework and to provide students with a sound foundation for more advanced statistical and quantitative studies. The unit will provide opportunities for the student to gain skills in the presentation of business and … For more content click the Read More button below.

Offerings

S1-01-CLAYTON-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Dr John Betts

Learning outcomes

On successful completion of this unit, you should be able to:
1.

Perform basic statistical analysis by hand, using spread sheets and statistical software;

2.

Communicate the results of descriptive statistical analysis in written form using appropriate graphical displays where relevant;

3.

Analyse the predictability of statistical models taking measures of uncertainty (such as standard deviation and Pearson's correlation coefficient) into account;

4.

Critically analyse sample selection and sampling methods;

5.

Perform hypothesis tests for the mean and proportion;

6.

Identify sources of data such as that provided by the Australian Bureau of Statistics, as well as other public domain and private data, such as from market research and polling.

Teaching approach

Peer assisted learning

Assessment summary

This unit has threshold mark hurdles. You must achieve at least 45% of the available marks in the final scheduled assessment, at least 45% in total for in-semester assessments, and an overall unit mark of 50% or more to be able to pass the unit. If you do not achieve the threshold mark, you will receive a fail grade (NH) and a maximum mark of 45 for the unit.

 

Assessment

1 - Written assignment
2 - Test
3 - Scheduled final assessment (2 hours and 10 minutes)

Scheduled and non-scheduled teaching activities

Lectures
Tutorials

Workload requirements

Workload

Learning resources

Required resources
Technology resources

Availability in areas of study

Business information systems
IT for business