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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
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Mathematics, Physics & Computing
Student contribution band : Band 1
Grading basis : Graded
Version produced : 25 June 2022

Requisites

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

Overview

This course aims to provide business and accounting students who have limited knowledge of statistics, with the fundamental statistical concepts, methods and skills necessary in order to undertake or critically appraise quantitative methods and the interpretation of subsequent results. The course is aimed at developing statistical literacy and a strong foundation in threshold statistical competencies in students from a variety of disciplines, including science, psychology, the physical sciences, business, commerce, and IT and is a pre-requisite for most high-level statistics courses. The course provides technical competency in quantitative methods and is a required course as part of CPA and CAANZ accreditation.

This course focuses primarily on the appropriate application, interpretation and communication of foundational descriptive and inferential statistical methods. Emphasis is placed on understanding the concepts and principles associated with dealing with data, in particular descriptive and inferential statistics. Data sets from a range of disciplines are included as well as examples of statistics presented in popular media. Core components of the course include the use of statistical software and the development of problem solving and quantitative skills relevant to many disciplines of study. Note: The mathematical underpinnings of the methods used are not covered; other statistics courses cover this aspect.

Course offers

Semester Mode Campus
Semester 2, 2022 Online
Date printed 25 June 2022