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STAT11-111: Business Statistics

Description

This subject introduces students to fundamental quantitative theory and tools to support the data analysis and decision-making needs of modern organisations. This subject covers descriptive statistics, probability distributions, sampling, hypothesis testing and regression. This subject focuses on developing practical computational skills and systematic problem-solving capabilities to analyse and interpret data for various business problems and decisions. The tools and techniques introduced in this subject, including the use of spreadsheets for data management and analysis, can be applied to exploratory big data analysis.

Subject details

Type: Undergraduate Subject
Code: STAT11-111
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • January 2024 [Standard Offering]
  • May 2024 [Standard Offering]
  • September 2024 [Standard Offering]
  • January 2025 [Standard Offering]
Credit: 10
Study areas:
  • Business, Commerce, and Entrepreneurship
Subject fees:
  • Commencing in 2023: $4,050.00
  • Commencing in 2024: $4,260.00
  • Commencing in 2025: $4,460.00
  • Commencing in 2023: $5,400.00
  • Commencing in 2024: $5,730.00
  • Commencing in 2025: $5,990.00

Learning outcomes

  1. Demonstrate appropriate use of graphical displays and numerical summaries for different types of data.
  2. Apply probability rules and concepts relating to discrete and continuous random variables to facilitate decision-making.
  3. Apply statistical inference techniques, including constructing interval estimates and performing hypothesis tests, to facilitate decision-making.
  4. Construct statistical models, including multivariate models, to evaluate relationships between variables.
  5. Communicate statistical findings to non-specialist audiences.

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 dates

  • Standard Offering
    Enrolment opens: 12/11/2023
    Semester start: 15/01/2024
    Subject start: 15/01/2024
    Cancellation 1: 29/01/2024
    Cancellation 2: 05/02/2024
    Last enrolment: 28/01/2024
    Withdraw - Financial: 10/02/2024
    Withdraw - Academic: 02/03/2024
    Teaching census: 09/02/2024
  • Standard Offering
    Enrolment opens: 17/03/2024
    Semester start: 13/05/2024
    Subject start: 13/05/2024
    Cancellation 1: 27/05/2024
    Cancellation 2: 03/06/2024
    Last enrolment: 26/05/2024
    Withdraw - Financial: 08/06/2024
    Withdraw - Academic: 29/06/2024
    Teaching census: 07/06/2024
  • Standard Offering
    Enrolment opens: 14/07/2024
    Semester start: 09/09/2024
    Subject start: 09/09/2024
    Cancellation 1: 23/09/2024
    Cancellation 2: 30/09/2024
    Last enrolment: 22/09/2024
    Withdraw - Financial: 05/10/2024
    Withdraw - Academic: 26/10/2024
    Teaching census: 04/10/2024
  • Standard Offering
    Enrolment opens: 10/11/2024
    Semester start: 20/01/2025
    Subject start: 20/01/2025
    Cancellation 1: 03/02/2025
    Cancellation 2: 10/02/2025
    Last enrolment: 02/02/2025
    Withdraw - Financial: 15/02/2025
    Withdraw - Academic: 08/03/2025
    Teaching census: 14/02/2025
Standard Offering
Enrolment opens: 12/11/2023
Semester start: 15/01/2024
Subject start: 15/01/2024
Cancellation 1: 29/01/2024
Cancellation 2: 05/02/2024
Last enrolment: 28/01/2024
Withdraw - Financial: 10/02/2024
Withdraw - Academic: 02/03/2024
Teaching census: 09/02/2024