BOND UNIVERSITY 
STAT11-112: Quantitative Methods 
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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STAT11-112: Quantitative Methods (Solutions)

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ACADEMIC YEAR 2025 - 2026

University	Bond University
Academic Unit	Bond Business School
Subject Name	STAT11-112
Subject Code	Quantitative Methods
Subject Level	Undergraduate
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	59

If you are studying STAT11-112: Quantitative Methods at Bond 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.

Designed to foster the development of foundational mathematical and statistical skills necessary for subsequent quantitative subjects in the Bond Business School. This includes applications of calculus, probability, discrete and continuous random variables, sampling distributions, hypothesis testing, and application of the central limit theorem to large sample inference and data analytics. The use of popular statistical computing packages is integral to providing an applied approach to these topics.

✔ Subject Learning Outcomes (SLOs)

On successful completion of this subject the learner will be able to:

Recognise different types of data and produce appropriate graphical and numerical descriptive statistics.
Apply probability rules and concepts relating to discrete and continuous random variables to answer questions within a business context.
Apply the concept of expectation and variance for discrete distributions such as Binomial and Poisson, and continuous distributions such as Uniform, Exponential and Normal to answer questions within a business context.
Demonstrate knowledge of the importance of the Central Limit Theorem (CLT) and its uses and applications.
Conduct and interpret a variety of hypothesis tests to aid decision making in a business context.
Use a statistical package frequently used by practitioners to analyse the data using techniques from SLOs 1-5.

SUBJECT CODE	SUBJECT NAME
ACCT11-102	Management Accounting
ECON11-100	Principles of Economics
ECON12-201	Markets and Corporate Behaviour
ECON12-202	Macroeconomics
ECON13-300	Advanced Econometrics
FINC11-101	Fundamentals of Finance
FINC12-201	Financial Applications and Analysis
FINC13-301	Advanced Corporate Finance
FINC13-303	Portfolio Analysis and Investments
FINC13-305	Financial Derivatives
LAWS10-100	Business Law
LAWS13-528	Taxation Law
MGMT11-101	Organisational Behaviour
MGMT13-305	Human Resource Management
MKTG11-100	Marketing Fundamentals
STAT11-111	Business Statistics
STAT11-112	Quantitative Methods

STAT11-112: Quantitative Methods (Solutions)

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