CHARLES STURT UNIVERSITY 
QBM100: Data Analytics for Business 
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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Charles Sturt University - QBM100: Data Analytics for Business (Solutions)

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ACADEMIC YEAR 2025 - 2026

University	Charles Sturt University
Study Level	Undergraduate
Subject Code	QBM100
Subject Name	Data Analytics for Business
Notes Title	Final Examination Guide and Notes
Page Length	59

If you are studying QBM100: Data Analytics for Business at Charles Sturt University, this complete guide keeps your revision focused and simple. It covers every examinable topic and explains key concepts in clear, simple language. It also explains how the final exam is organised and marked, and shows you the main question styles to expect. Inside, you’ll find exam-style questions with step-by-step solutions, straightforward explanations, and final-exam hints and tips, plus practical guidance on format, key marking points, timing, and model solutions to help you check your work.

QBM100: Data Analytics for Business introduces the students to the role of data and data analysis in decision making in organisations, including methods of sourcing, collecting and examining relevant data. Commonly used tools and techniques for data analysis, interpretation and presentation are then introduced, through the practical consideration of authentic data sets using relevant software. The emphasis is on effective communication of the findings. The subject's objective is on the development of a professional with the capacity to access, organise and analyse data in order to effectively make and convey decisions within the contemporary business context.

Main topics to be covered:

Introduction to data (including big data), data analytics, data sources and data types
Methods of summarising, analysing, interpreting and presenting data numerically and graphically, using relevant software
Probability and probability distributions
Sampling and sampling techniques
Statistical inference of quantitative and qualitative data for a single variable
Simple linear regression and correlation

SUBJECT CODE	SUBJECT NAME
ACC100	Accounting 1
ACC110	Accounting 2
ACC127	Accounting and Financial Literacy
ACC128	Financial Accounting and Reporting
ACC210	Management Accounting
ACC322	Company Accounting
ECO130	Business Economics
ECO220	Macroeconomic Analysis
FIN211	Financial Management
FIN221	Investments
FIN230	Financial Institutions and Markets
FIN350	Strategic Financial Management
FIN360	Treasury Risk Management
LAW110	Business Law
LAW301	Taxation Law (Principles)
MGT100	Organisations and Management
MKT110	Marketing Fundamentals
QBM117	Business Statistics
QBM120	Business Data Analysis
STA201	Scientific Statistics

Charles Sturt University - QBM100: Data Analytics for Business (Solutions)

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