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Statistical Analysis & Decision Making G (6275.6)

Level: Graduate Level
Credit Points: 3
HECS Bands: 2, 4
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology

Availability

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

  • Semester 1, 2019, ON-CAMPUS, BRUCE (190252) - View
  • Semester 2, 2018, ON-CAMPUS, BRUCE (181680) - View
  • Semester 1, 2018, ON-CAMPUS, BRUCE (181679) - View
  • Semester 2, 2017, ON-CAMPUS, BRUCE (166243) - View
  • Semester 1, 2017, ON-CAMPUS, BRUCE (165936) - View
  • Semester 2, 2016, ON-CAMPUS, BRUCE (151192) - View
  • Semester 1, 2016, ON-CAMPUS, BRUCE (154769) - View
  • UC Term 4, 2015, ON-CAMPUS, NINGBO (142686) - View
  • Semester 2, 2015, ON-CAMPUS, BRUCE (139395) - View
  • Semester 2, 2015, INTENSIVE, BRUCE (139396) - View
  • Semester 1, 2015, ON-CAMPUS, BRUCE (145568) - View

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

Syllabus

This subject is intended mainly for students in accounting, business administration and related disciplines. Emphasis is placed on the application of statistical techniques to analyse quantitative information in those disciplines. Topics may include populations and samples; the presentation and interpretation of data; measures of central tendency and variability; probability and probability distributions; estimation of population parameters; hypothesis testing on population parameters; tests of association; correlation and simple linear regression; time series analysis; and index numbers. Analyses will be carried out using Microsoft Excel.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Express real life problems in statistical terms;

2. Summarise data graphically and statistically via a computer package;

3. Assess risks in business situations;

4. Estimate and test population parameters in business situations;

5. Calculate and interpret the components of a time series and economic index numbers; and

6. Plan independent research to extend knowledge in solving statistical problems in business situations.

Assessment Items

Contact Hours

A 2 hour lecture and a 2 hour lab per week.

Prerequisites

None.

Corequisites

None.

Assumed Knowledge

Basic mathematics and approx to Year-10 High School standard.

Incompatible Units

6554 Introduction to Statistics G.

Equivalent Units

None.



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