STAT11-111: Business Statistics

Description

This subject introduces students to fundamental quantitative theory and tools to support business intelligence and data analysis needs of modern organisations. This Includes basic statistics, probability distributions, correlation, regression, and time series forecasting. The emphasis of this subject is to develop practical computational skills and problem-solving capabilities utilising appropriate analytical approaches to a given problem. 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 2023 [Standard Offering]
  • May 2023 [Standard Offering]
  • September 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 2024: $4,260.00
  • Commencing in 2022: $5,260.00
  • Commencing in 2023: $5,400.00
  • Commencing in 2024: $5,730.00

Learning outcomes

  1. Produce appropriate graphical and numerical descriptive statistics for different types of data.
  2. Apply probability rules and concepts relating to discrete and continuous random variables to answer questions within a business context.
  3. Demonstrate knowledge of the importance of the Central Limit Theorem (CLT) and its applications.
  4. Conduct and interpret a variety of hypothesis tests to aid decision making in a business context.
  5. Use simple/multiple regression models to analyse the underlying relationships between the variables through hypothesis testing.

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: 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: 16/07/2023
    Semester start: 11/09/2023
    Subject start: 11/09/2023
    Cancellation 1: 25/09/2023
    Cancellation 2: 02/10/2023
    Last enrolment: 24/09/2023
    Withdraw - Financial: 07/10/2023
    Withdraw - Academic: 28/10/2023
    Teaching census: 06/10/2023
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