In this unit, you will learn how to analyse and interpret data to support evidence-based decision-making in business and economics. You will explore methods for summarising data, including tables, charts, and measures of central tendency and dispersion. Key topics include standardisation techniques, regression analysis, and the use of probability and sampling to understand uncertainty. The unit also covers statistical inference, including confidence intervals and hypothesis testing. Throughout, you’ll apply these concepts to real-world scenarios, developing practical skills in data analysis.
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
interpret and evaluate relationships between variables for business and economic decision-making using simple and multiple linear regression
describe the concept of a sampling distribution, estimators and their properties
apply the main ideas of probability theory to business and economic decision-making.
make inference on single and multiple population means, difference between means and the slope for business and economic decision-making
interpret business and economic data using tables, charts and descriptive statistics techniques, applying standardisation techniques where appropriate
Company
About UsMetaverse ClassroomNews & BlogJR CareersBecome a MentorOur MentorsContact UsJR Store J3.ClubResources
Job ReferralsEvents1-on-1 TutoringIndustry WhitepapersOnline LearningInterview CenterShare Interview ExperienceInternshipMembershipImmigration Services
Australia ImmigrationSkilled Visa 189/190/491Employer Sponsored 482/186/494Business Visa 188/888UK ImmigrationUS ImmigrationCanada ImmigrationEnterprise
P3 Career IncubatorEnterprise (EN)Corporate TrainingInternship PartnershipRecruitment PartnershipApply for PartnershipTop Categories
Web Full-Stack BootcampDevOps BootcampData Engineering BootcampData Analysis BootcampCoding for BeginnersBusiness Analyst InternshipAlgorithm BootcampCareer Services
BA & PM InternshipData Science InternshipData Analysis InternshipMarketing InternshipResume ReviewInterview CoachingVIP Mentor GuidanceAddresses
Level 10b, 144 Edward Street, Brisbane CBD(Headquarter)Level 2, 171 La Trobe St, Melbourne VIC 3000四川省成都市武侯区桂溪街道天府大道中段500号D5东方希望天祥广场B座45A13号Business Hub, 155 Waymouth St, Adelaide SA 5000Disclaimer
JR Academy acknowledges Traditional Owners of Country throughout Australia and recognises the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures; and to Elders past and present. Aboriginal and Torres Strait Islander peoples should be aware that this website may contain images or names of people who have since passed away.
All content on the JR Academy website, including course materials, logos, and information provided, is protected under Australian intellectual property laws. Unauthorized use, sale, distribution, reproduction, or modification is strictly prohibited. Violations may result in legal action. By accessing our website, you agree to respect our intellectual property. JR Academy Pty Ltd reserves all rights, including patents, trademarks, and copyrights. Any infringement will be subject to legal prosecution. View Terms of Service
© 2017-2026 JR Academy Pty Ltd. All rights reserved.
ABN 26621887572
