STAT71-112: Quantitative Methods

Description

This subject provides the opportunity to develop the 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. Popular statistical computing packages are used as an integral part of the subject to provide an applied focus throughout the subject.

Subject details

Type: Postgraduate Subject
Code: STAT71-112
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • September 2024 [Standard Offering]
  • January 2025 [Standard Offering]
  • May 2025 [Standard Offering]
  • September 2025 [Standard Offering]
Credit: 10
Study areas:
  • Business, Commerce, and Entrepreneurship
Subject fees:
  • Commencing in 2024: $5,410.00
  • Commencing in 2025: $5,520.00
  • Commencing in 2024: $6,060.00
  • Commencing in 2025: $6,340.00

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

Requisites:

Nil
Assumed knowledge:

Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.

Restrictions:

Subject outlines

Subject dates

Standard Offering
Enrolment opens: 14/07/2024
Semester start: 09/09/2024
Subject start: 09/09/2024
Last enrolment: 22/09/2024
Teaching census: 04/10/2024
Withdraw - Financial: 05/10/2024
Withdraw - Academic: 26/10/2024
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