| Effective Term: | 2024/05 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Business Statistics |
| Unit ID: | GPGEN1502 |
| Credit Points: | 15.00 |
| Prerequisite(s): | Nil |
| Co-requisite(s): | Nil |
| Exclusion(s): | Nil |
| ASCED: | 010103 |
| Other Change: | |
| Brief description of the Unit |
This course enables students to develop an understanding of the role of statistics in business and research and develop foundational knowledge and skills in the appropriate use of a range of statistical techniques. The course introduces spreadsheeting with an emphasis on the use of Excel as a statistical tool. Students develop core knowledge and applied skills in the following areas: descriptive statistics, elementary probability, discrete and continuous probability distributions, statistical inference, simple linear regression and correlation, forecasting and time series and index numbers.This course has been designed to incorporate additional learning hours to support students academic and study skill development. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:Yes |
| Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory |  | | | | | | | Intermediate | | | | | | | | Advanced | | | | | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Describe a set of data using appropriate statistical measures and identify commonly used techniques for data collection and analysis. |
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| K2. | Describe the role of statistical analysis and probability for decision making. |
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| K3. | Recognise the role of hypothesis tests in statistics. |
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| K4. | Describe relationships between two variables using linear and time series regression equations. |
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| K5. | Define index numbers and time value of money. |
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| Skills: |
| S1. | Use Excel to perform routine data management tasks and statistical analyses. |
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| S2. | Present data in a clear and informative way in both tabular and graphical form. |
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| S3. | Perform hypothesis tests & construct confidence intervals for single means. |
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| S4. | Model the relationship between two variables using linear regression equations and time series techniques. |
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| S5. | Interpret and communicate the results from statistical analysis using appropriate statistical language and conventions. |
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| S6. | Develop the appropriate English language and academic skills to successfully study at an undergraduate level. |
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| Application of knowledge and skills: |
| A1. | Interpret computer output in terms that relate to the particular problem situation. |
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| A2. | Select and perform appropriate statistical tests for given data sets and problem situations. |
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| Unit Content: |
This may include:
•Data classification and terminology.
•Descriptive statistics.
•Computer analysis of data.
•Probability and probability distributions.
•Estimation and hypothesis testing.
•Linear regression and correlation.
•Index numbers and time series. |
| Graduate Attributes: |
| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | | 1. | K1, K2, K4, S1, S2, S4, S5, S6 A1, A2 | Apply appropriate statistical analysis and produce professional presentation and interpretation of qualitative and quantitative data based on a relevant business context. | Assignment | 20-30% | | 2. | K1, K2, K3, S1, S3, A1, A2 | Students demonstrate conceptual basis of a statistical technique, perform appropriate calculations or apply an appropriate statistical technique using computer software and interpret the results obtained in context. | Quizzes | 20-30% | | 3. | K1, K2, K5, S1, S5, A1, A2 | Final test/assessment | Final summative assessment | 40-50% |
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