Financial Statistics
24 hours face to face + blended
One Semester or equivalent
Hawthorn, Online
Available to incoming Study Abroad and Exchange students
Overview
This unit provides students with an introduction to statistics in business and finance. Students develop skills in preparing, analysing and interpreting data, and applying statistical methods to support business decision-making. The unit emphasises the practical application of statistical techniques to analyse real-world business data, draw evidence-based conclusions, and communicate statistical findings
Requisites
Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Teaching Period 2
Location
Online
Start and end dates
06-July-2026
04-October-2026
04-October-2026
Last self-enrolment date
19-July-2026
Census date
04-August-2026
Last withdraw without fail date
25-August-2026
Results released date
27-October-2026
Semester 2
Location
Hawthorn
Start and end dates
03-August-2026
01-November-2026
01-November-2026
Last self-enrolment date
16-August-2026
Census date
01-September-2026
Last withdraw without fail date
22-September-2026
Results released date
08-December-2026
Semester 1
Location
Hawthorn
Start and end dates
01-March-2027
30-May-2027
30-May-2027
Last self-enrolment date
14-March-2027
Census date
30-March-2027
Last withdraw without fail date
20-April-2027
Results released date
06-July-2027
Semester 2
Location
Hawthorn
Start and end dates
02-August-2027
31-October-2027
31-October-2027
Last self-enrolment date
15-August-2027
Census date
31-August-2027
Last withdraw without fail date
21-September-2027
Results released date
07-December-2027
Unit learning outcomes
Students who successfully complete this unit will be able to:
- Identify and apply commonly used techniques for data collection and analysis
- Apply fundamental concepts of probability and probability distributions to problems in business decision-making
- Apply statistical inference methods to conduct and explain the results of hypothesis testing
- Apply simple regression analysis to explain the relationship between variables to draw inferences about relationships
- Apply technological tools to analyse data for decision-making purposes
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| On-campus Class | 2.00 | 12 weeks | 24 |
| Online Lecture | 1.00 | 12 weeks | 12 |
| Unspecified Activities Independent Learning | 9.50 | 12 weeks | 114 |
| TOTAL | 150 |
Swinburne Online
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| Online Directed Online Learning and Independent Learning | 12.50 | 12 weeks | 150 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Assignment | Individual | 20 - 30% | 1,2,3,5 |
| Case Study | Individual | 40 - 60% | 1,2,3,5 |
| Test | Individual | 20 - 30% | 1,2,3,4 |
Content
- Applied Statistical Analysis for Business
- Descriptive Statistics
- Probability and Probability Distributions
- Sampling and Estimation
- Hypotheses Testing
- Correlation and Linear Regression
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.