Course Title: Business Statistics 1

Part A: Course Overview

Course Title: Business Statistics 1

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

ECON1030

City Campus

Undergraduate

625H Economics, Finance and Marketing

Face-to-Face

 Sem 1 2006,
Sem 2 2006,
Sem 1 2007,
Sem 2 2007,
Sem 1 2008,
Sem 2 2008,
Sem 1 2009,
Sem 2 2009,
Sem 1 2010,
Sem 2 2010,
Sem 1 2011,
Sem 2 2011,
Sem 1 2012,
Sem 2 2012,
Sem 1 2013,
Sem 2 2013,
Sem 1 2014,
Sem 2 2014,
Sem 1 2015,
Sem 2 2015,
Sem 1 2016,
Sem 2 2016,
Sem 1 2017,
Sem 2 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021,
Sem 1 2022,
Sem 2 2022,
Sem 1 2023,
Sem 2 2023,
Sem 1 2024,
Sem 2 2024

ECON1034

Kolej Metropolitan

Undergraduate

625H Economics, Finance and Marketing

Face-to-Face

 Offsh 1 09,
Offsh 3 09,
Offsh 1 10

ECON1035

Singapore Inst of Management

Undergraduate

625H Economics, Finance and Marketing

Face-to-Face

 Offsh 1 09,
Offsh 3 09,
Offsh 1 10,
Offsh 3 10,
Offsh 1 11,
Offsh 3 11,
Offsh1 12,
Offsh3 12,
Offsh1 13,
Offsh3 13,
Offsh1 14,
Offsh3 14,
Offsh1 15,
Offsh3 15,
Offsh1 16,
Offsh3 16,
Offsh1 17,
Offsh3 17,
Offsh3 18,
Offsh1 19,
Offsh3 19,
Offsh1 20,
Offsh3 20,
Offsh1 21,
Offsh3 21,
Offsh1 22,
Offsh3 22,
Offsh1 23,
Offsh3 23

ECON1187

City Campus

Postgraduate

625H Economics, Finance and Marketing

Face-to-Face

 Sem 1 2006,
Sem 2 2006

ECON1193

RMIT University Vietnam

Undergraduate

625H Economics, Finance and Marketing

Face-to-Face

 Viet2 2007,
Viet3 2007,
Viet1 2008,
Viet2 2008,
Viet3 2008,
Viet1 2009,
Viet2 2009,
Viet3 2009,
Viet1 2010,
Viet2 2010,
Viet3 2010,
Viet1 2011,
Viet2 2011,
Viet3 2011,
Viet1 2012,
Viet2 2012,
Viet3 2012,
Viet1 2013,
Viet2 2013,
Viet3 2013,
Viet1 2014,
Viet2 2014,
Viet3 2014,
Viet1 2015,
Viet2 2015,
Viet3 2015,
Viet1 2016,
Viet2 2016,
Viet3 2016,
Viet1 2017,
Viet2 2017,
Viet3 2017,
Viet1 2018,
Viet2 2018,
Viet1 2019,
Viet2 2019,
Viet3 2019,
Viet1 2020,
Viet2 2020,
Viet3 2020,
Viet1 2021,
Viet2 2021,
Viet3 2021,
Viet1 2022,
Viet2 2022,
Viet3 2022,
Viet1 2023,
Viet2 2023,
Viet3 2023,
Viet1 2024

ECON1193

RMIT University Vietnam

Undergraduate

625H Economics, Finance and Marketing

Face-to-Face or Internet

 Viet3 2018

ECON1335

RMIT Vietnam Hanoi Campus

Undergraduate

625H Economics, Finance and Marketing

Face-to-Face

 Viet3 2019,
Viet1 2020,
Viet2 2020,
Viet3 2020,
Viet1 2021,
Viet2 2021,
Viet3 2021,
Viet1 2022,
Viet2 2022,
Viet3 2022,
Viet1 2023,
Viet2 2023,
Viet3 2023,
Viet1 2024

Course Coordinator: Dr Preety Pratima Srivastava

Course Coordinator Phone: +613 99255905

Course Coordinator Email: pratima.srivastava@rmit.edu.au

Course Coordinator Location: Melbourne Campus, Building 80, Level 11

Course Coordinator Availability: By appointment only


Pre-requisite Courses and Assumed Knowledge and Capabilities

None

 


Course Description

Business managers make daily decisions on a variety of issues including resource allocation, forecasting sales, or understanding customer demographics. These decisions increasingly rely on analysing data. This course introduces you to a range of statistical techniques which managers can use to make informed decisions. You will apply these techniques to relatively simple practical examples.

For larger applications you will learn how to use Microsoft Excel to perform any of the calculations associated with these statistical techniques. The focus in this subject however is on how to analyse and interpret your own results or the output from Excel. You will learn how to apply these techniques by working with examples which are relevant to most major business disciplines and the functional areas of large organizations. These include examples from Accounting, Economics, Finance, Financial Planning, Human Resource Management, Information Technology, Logistics and Transport and Marketing.

 


Objectives/Learning Outcomes/Capability Development

-

 


On successful completion of this program you will be able to:

  1. Illustrate and describe information using a range of numerical and graphical procedures both written and in Excel.
  2. Using sample information, apply the scientific process to arrive at probable conclusions about population values.
  3. Highlight statistical relationships between variables in data sets and to predict values of strategic variables using regression and correlation analysis.
  4. Critically analyse, in team based collaboration, the statistical findings published by the media, research agencies and the Government to validate and verify its accuracy.
  5. Communicate statistical findings and results in an unbiased manner to a non-technical audience such as decision makers, stakeholders and the general public.

 


Overview of Learning Activities

In this course you will be encouraged to be an active learner. Your learning will be supported through various in-class and out-of-class activities comprising individual and group work. These may include quizzes; assignments; prescribed readings; sourcing, researching and analysing specific information; solving problems; conducting presentations; producing written work and collaborating with peers on set tasks or projects.

You will use a calculator and spreadsheet tools to solve problems in the areas of finance, accounting, marketing, and management, using the appropriate statistical skills, and discuss and present your results. You will learn different techniques for approaching the same problem. Classes will involve both discussion and online activities.

 


Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies\Canvas. In addition to topic notes; assessment details and a study schedule you may also be provided with links to relevant online information; readings; audio and video clips and communication tools to facilitate collaboration with your peers and to share information.

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Additional resources and/or sources to assist your learning will be identified by your course coordinator will be made available to you as required during the teaching period.

 


Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows:

Assessment Task 1: 20%
Linked CLOs: 1, 2, 

Assessment Task 2: 40%
Linked CLOs: 1, 2, 3, 4, 5

Assessment Task 3: 40%
Linked CLOs: 1, 2, 3, 5

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.