You are viewing this page as a domestic student.
Change to International

You are a domestic student if you are an Australian citizen, a New Zealand citizen or the holder of an Australian permanent visa.

You are an international student whether you are within or outside Australia and you do not meet the domestic student criteria.

Coronavirus (COVID-19): advice and support for the Bond community. Read more

STAT11-111: Business Statistics

Description

This subject is designed to foster the development of foundational statistical skills that are necessary for day-to-day business analysis. The objectives of this subject are to (a) provide a basic knowledge of the application of mathematics and statistics to business disciplines; (b) develop the ability to analyse and interpret data to provide meaningful information to assist in making management decisions; and (c) develop an ability to apply modern quantitative tools (Microsoft Excel) to data analysis in a business context. Particular emphasis will be placed on determining when it is appropriate to use the various techniques and how to use Excel to conduct analyses.

Subject details

TypeUndergraduate
CodeSTAT11-111
EFTSL0.125
FacultyBond Business School
Semesters offered
  • September 2020 [Standard Offering]
  • January 2021 [Standard Offering]
  • May 2021 [Standard Offering]
  • September 2021 [Standard Offering]
  • January 2022 [Standard Offering]
  • May 2022 [Standard Offering]
Credit10
Study areas
  • Business and Commerce
Subject fees
  • Commencing in 2020: $4,340
  • Commencing in 2021: $4,390

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.
6. Use a statistical package frequently used by practitioners to analyse the data using techniques from SLOs 1-5.

Enrolment requirements

Requisites: ?

Nil

Restrictions: ?

Anti-requisites: ?

Subject outlines

Subject dates

Standard Offering
Enrolment opens10/11/2019
Semester start13/01/2020
Subject start13/01/2020
Cancellation 1?27/01/2020
Cancellation 2?03/02/2020
Last enrolment26/01/2020
Withdraw – Financial?08/02/2020
Withdraw – Academic?29/02/2020
Teaching census?07/02/2020
Standard Offering
Enrolment opens02/08/2020
Semester start14/09/2020
Subject start14/09/2020
Cancellation 1?28/09/2020
Cancellation 2?05/10/2020
Last enrolment27/09/2020
Withdraw – Financial?10/10/2020
Withdraw – Academic?31/10/2020
Teaching census?09/10/2020