Data Informed Decision Making
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Master of Management
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Julie Williams
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"I chose ICMS because they have provided me with the opportunity to kickstart my career through their many industry partners".
Keegan Du Preez
Bachelor of Business Management (Accounting)
"ICMS is realistic. They understand the realistic expectations of various markets. It’s not just textbook knowledge, especially compared to every other competitor".
Michaela Mayes
Bachelor of Business (Marketing)
"ICMS' Work Integrated Learning gave me the ability to gain real life experience before I even graduated".
Alana Williams
Bachelor of Business (Accounting)
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Juliette Wilson
Bachelor of Business (Marketing)
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Calum McKnight
Bachelor of Business (Marketing)
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Ewan Metcalfe
Bachelor of Business (Sports Management)
"Through being at this college and the geographical location, it always reminded me to stay grounded, keep working hard to further improve my life and stay happy".
This subject is available under ICMS undergraduate degrees, please click the button below to find an undergraduate course for you.
Subject Code:
STA101A
Subject Aim:
In order to make the right decisions as a business manager it is vital you have a basic understanding of statistical practice and how it is applied in a business situation. This subject provides a broad introduction to statistical concepts and techniques for data analysis. It aims to demystify the subject; training you to organise, analyse and make sense of data in the workplace and in everyday life.
In this subject we will develop new insights and understanding by being able to extract and summarise information from the rich data sets readily available in today’s business environment. This includes interpretation of statistics and business data, identification of useful models of both the operations and the environment of a business; and responding appropriately as managers to quantitative information and quantitative models to make better business decisions.
Learning Outcomes:
a) Interpret statistics to make better business decisions.
b) Interpret data graphically and numerically.
c) Collect representative samples of populations.
d) Draw conclusions about populations with statistical tests.
Student Assessment:
| No | Type | Weighting | Learning Outcomes |
| 1 | Online Quiz | 15% | a,b |
| 2 | Report | 35% | a,d |
| 3 | Presentation | 25% | a,b,c,d |
| 4 | Online Quiz | 25% | a,b,d |