SWINBURNE UNIVERSITY OF TECHNOLOGY 
FIN10002: Financial Statistics 
Final Examination Guide and Notes 2026 
 
Part 01. Topic Summary and Exam Tips 
Part 02. Practice Exam Questions and Answers 
Part 03. Sample Final Examination Paper 
Part 04. Suggested Solutions to Final Exam Paper 
 
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Swinburne University of Technology - FIN10002: Financial Statistics

$35.00

ACADEMIC YEAR 2025 - 2026

University	Swinburne University of Technology
Study Level	Undergraduate
Unit Code	FIN10002
Unit Name	Financial Statistics
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	61

A comprehensive and easy-to-understand set of notes covering all lecture content and examinable topics for FIN10002: Financial Statistics, Swinburne University of Technology. These colour-coded notes are organised in an understandable way. They offer vital information about exam format, what will be on the exam, and key concepts you should focus your studies on. Concepts and principles are not simply named or described in passing but are described thoroughly. You can use these notes as a reference, to understand the topics better and improve your grades in the final examination!

This unit provides students with an introduction to statistics within a financial context. Students will gain an appreciation of what statistical methods can achieve, as well as skills in preparing, analysing and interpreting business data and statistical analysis. Students will also learn how to apply analytical tools to visualise and analyse data. The focus of the unit is on data science as an analytical and decision-making tool, in a variety of business contexts, with a major emphasis on interpretation and application.

✔ 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

✔ Main topics covered:

Descriptive Statistics
Probability and Probability Distributions
Sampling and Estimation
Hypotheses Testing
Correlation and Linear Regression
Data Analytics using Power BI and Python

UNIT CODE	UNIT NAME
ACC10007	Financial Information for Decision Making
ACC10008	Financial Information Systems
ACC20007	Management Accounting for Planning and Control
ACC20013	Company Accounting
ACC20021	Management Accounting and Business Intelligence
ACC30005	Taxation
ECO10005	Economics for Business Decision Making
ECO20003	Managerial Economics and Strategy
ECO20004	Macroeconomic Policy
FIN10002	Financial Statistics
FIN20014	Financial Management
LAW20019	Law of Commerce
MGT10001	Introduction to Management
MGT10009	Contemporary Management Principles
MKT10008	Marketing Principles and Practices
MKT10009	Marketing and the Consumer Experience
STA10003	Foundations of Statistics

Swinburne University of Technology - FIN10002: Financial Statistics

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