STAT11-112: Quantitative Methods

Description

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 are integral to providing an applied approach to these topics.

Subject details

Learning outcomes

1. Recognise different types of data and produce appropriate graphical and numerical descriptive statistics. 2. Apply probability rules and concepts relating to discrete and continuous random variables to answer questions within a business context. 3. 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. 4. Demonstrate knowledge of the importance of the Central Limit Theorem (CLT) and its uses and applications. 5. Conduct and interpret a variety of hypothesis tests to aid decision making in a business context. 6. Use a statistical package frequently used by practitioners to analyse the data using techniques from SLOs 1-5.

Enrolment requirements

Subject outlines

• May 2022 [Standard]
• January 2022 [Standard]
• September 2021 [Standard]
• May 2021 [Standard]
• January 2021 [Standard]
• September 2020 [Standard - Quantitative Methods]
• May 2020 [Standard]
• January 2020 [Standard]
• September 2019 [Standard]
• May 2019 [Standard]
• January 2019 [Standard]
• September 2018 [Standard]
• May 2018 [Standard]
• January 2018 [Standard]
• September 2017 [Standard]
• May 2017 [Standard]

Subject dates