THE UNIVERSITY OF MELBOURNE 
MAST20005: Statistics 
Final Examination Guide and Notes 2026 
 
Part A: Topic Summary and Exam Tips 
Part B: Practice Exam Questions and Answers 
Part C: Sample Final Examination Paper 
Part D: Suggested Solutions to Final Exam Paper 
 
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University of Melbourne - MAST20005: Statistics (Solutions)

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ACADEMIC YEAR 2025 - 2026

University	University of Melbourne
Study Level	Undergraduate
Subject Code	MAST20005
Subject Name	Statistics
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	61

This guide provides a comprehensive summary of the key concepts covered in MAST20005: Statistics at the University of Melbourne. It highlights the essential information you need to understand and apply the course material effectively, helping you build a solid grasp of the core methods and techniques. These features are specifically designed to help you apply your knowledge in the exam. You do not need to be an expert in the course; you just need a basic understanding and the ability to quickly recall what you have learned. Use these notes as a reference to strengthen your understanding topic by topic and improve your grades in the final exam.

This subject introduces the basic elements of statistical modelling, computation and data analysis. It is an entry point to further study of both mathematical and applied statistics, as well as broader data science.

Students will develop the ability to fit statistical models to data, estimate parameters of interest and test hypotheses. Both classical and Bayesian approaches will be covered. The importance of the underlying mathematical theory of statistics and the use of modern statistical software will be emphasised.

Concepts covered include: descriptive statistics, random sample, statistical inference, point estimation, interval estimation, properties of estimators, maximum likelihood, confidence intervals, hypothesis testing and Bayesian inference. Applications covered include: exploratory data analysis, inference for samples from univariate distributions, simple linear regression, correlation, goodness-of-fit tests and analysis of variance.

✔ Students completing this subject should be able to:

Demonstrate an understanding of the basic ideas of estimation and hypothesis testing;
Carry out many standard statistical procedures using a statistical computing package;
Fit statistical models to data by both estimating and testing hypotheses about model parameters.

SUBJECT CODE	SUBJECT NAME
ACCT10001	Accounting Reports and Analysis
ACCT10002	Introductory Financial Accounting
ACCT20001	Accounting for Management Decisions
ECOM20001	Econometrics 1
ECOM30001	Basic Econometrics
ECOM30002	Econometrics 2
ECON10003	Introductory Macroeconomics
ECON10004	Introductory Microeconomics
ECON10005	Quantitative Methods 1
ECON20002	Intermediate Microeconomics
ECON20003	Quantitative Methods 2
FNCE20005	Corporate Financial Decision Making
FNCE30001	Investments
FNCE30007	Derivative Securities
FNCE40001	Advanced Corporate Finance
MAST10010	Data Analysis
MAST20005	Statistics

University of Melbourne - MAST20005: Statistics (Solutions)

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