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The current and official versions of the course specifications are available on the web at https://www.usq.edu.au/course/specification/current.
Please consult the web for updates that may occur during the year.

STA1004 Fundamental Statistics for Accountants

Units : 1
School or Department : School of Mathematics, Physics & Computing
Grading basis : Graded
Course fee schedule : https://www.unisq.edu.au/current-students/administration/fees/fee-schedules
Version produced : 30 March 2023


Enrolment is not permitted in STA1004 if STA1003 or STA2300 or STA8170 or STA6200 has been previously completed


Business students can easily access vast quantities of data but need an effective way to analyse, interpret and to translate that date into relevant, timely and meaningful information and, subsequently interpret the outcomes to make more informed and balanced decisions in both a global and domestic business environment. Critical to this translation is the ability to use the tools and techniques of statistical analysis. This course introduces business students to the diversity of business data sources and their applications to gain a better appreciation of the end product of data, i.e., to enhance better business decision-making. We do this by the introduction of relevant statistical techniques. The course provides technical competency in quantitative methods and is a required course as part of CPA and CAANZ accreditation.

The course aims to introduce business students to business data sources and their applications to real world problems faced by businesses. The value of data as well as the reasons why we use appropriate statistically based tools to analyse and apply these statistical techniques forms the foundation of the course. This course deals with the role of statistical analysis for decision-making, the analysis, application and interpretation of data as applied to differing business data sources. Exploration and testing of data as applied to business situations for both parametric and non-parametric situations, understanding the relationship between multiple data sources using regression and correlation analysis and, applications of those techniques in such areas as basic forecasting and application of time series forecasting methods to business situations. Excel spreadsheets are used to better familiarise students with the steps involved in decision making techniques and to enhance the use and interpretation of statistical data likely used in their employment. Problem based learning will form the core teaching approach as well as analysis and thinking.

Course offers

Study period Mode Campus
Semester 1, 2023 On-campus Springfield
Semester 1, 2023 On-campus Toowoomba
Semester 1, 2023 Online
Semester 2, 2023 On-campus Springfield
Semester 2, 2023 On-campus Toowoomba
Semester 2, 2023 Online
Date printed 30 March 2023