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

Type: Undergraduate Subject
Code: STAT11-112
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • May 2022 [Standard Offering]
  • September 2022 [Standard Offering]
  • January 2023 [Standard Offering]
  • May 2023 [Standard Offering]
Credit: 10
Study areas:
  • Business, Commerce, and Entrepreneurship
Subject fees:
  • Commencing in 2022: $3,950.00
  • Commencing in 2023: $4,050.00
  • Commencing in 2022: $5,260.00
  • Commencing in 2023: $5,400.00

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:

Anti-requisites:

Subject outlines

Subject dates

  • Standard Offering
    Enrolment opens: 20/03/2022
    Semester start: 16/05/2022
    Subject start: 16/05/2022
    Cancellation 1: 30/05/2022
    Cancellation 2: 06/06/2022
    Last enrolment: 29/05/2022
    Withdraw - Financial: 11/06/2022
    Withdraw - Academic: 02/07/2022
    Teaching census: 10/06/2022
  • Standard Offering
    Enrolment opens: 17/07/2022
    Semester start: 12/09/2022
    Subject start: 12/09/2022
    Cancellation 1: 26/09/2022
    Cancellation 2: 03/10/2022
    Last enrolment: 25/09/2022
    Withdraw - Financial: 08/10/2022
    Withdraw - Academic: 29/10/2022
    Teaching census: 07/10/2022
  • Standard Offering
    Enrolment opens: 13/11/2022
    Semester start: 16/01/2023
    Subject start: 16/01/2023
    Cancellation 1: 30/01/2023
    Cancellation 2: 06/02/2023
    Last enrolment: 29/01/2023
    Withdraw - Financial: 11/02/2023
    Withdraw - Academic: 04/03/2023
    Teaching census: 10/02/2023
  • Standard Offering
    Enrolment opens: 19/03/2023
    Semester start: 15/05/2023
    Subject start: 15/05/2023
    Cancellation 1: 29/05/2023
    Cancellation 2: 05/06/2023
    Last enrolment: 28/05/2023
    Withdraw - Financial: 10/06/2023
    Withdraw - Academic: 01/07/2023
    Teaching census: 09/06/2023
Standard Offering
Enrolment opens: 20/03/2022
Semester start: 16/05/2022
Subject start: 16/05/2022
Cancellation 1: 30/05/2022
Cancellation 2: 06/06/2022
Last enrolment: 29/05/2022
Withdraw - Financial: 11/06/2022
Withdraw - Academic: 02/07/2022
Teaching census: 10/06/2022