MONASH UNIVERSITY 
ETF1100: Business statistics 
* Final Examination Guide and Notes 2024 
 
- Part 01. Topic Summary and Exam Tips 
- Part 02. Practice Exam Questions and Answers 
- Part 03. Sample Final Examination Paper 
- Part 04. Suggested Solutions to Final Exam Paper 
 
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Monash Uni - ETF1100: Business Statistics (Solutions)

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ACADEMIC YEAR 2023 - 2024

University	Monash University
Study Level	Undergraduate
Unit Code	ETF1100
Unit Name	Business statistics
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	56

* This concise ETF1100: Business statistics - Final Examination Guide and Notes 2024, at Monash University covers essential steps to understand the relevant theories in this unit. The illustrations and worked examples show essential workings to apply those theories. And when you are through with your course materials, you can take a sample exam with solutions and explanations provided, created specifically to simulate the real test-taking experience. With this guide, you can aim for the best grade with the help of relevant and accessible notes, examiner advice plus questions and answers on each key examinable topic. Get yours today!

- This unit, ETF1100: Business Statistics covers a range of topics including; descriptive statistics applied to both categorical and numerical data, such as using tables, charts, standardisation techniques and measures of location and dispersion on grouped and ungrouped data; analysis of the relationships between variables using correlation, simple and multiple linear regression, including extensions to categorical explanatory variables and time series data with applications to forecasting; the concept of sampling as a way of understanding the characteristics of the population of interest; constructing and interpreting confidence intervals; fundamentals of hypothesis testing including testing hypotheses about the mean, proportions, differences between means and slope coefficients in linear regression.

✔ Learning Outcomes:

Apply the main ideas of probability theory to business decision-making
Interpret business data using tables, charts, and descriptive statistical techniques, applying standardization where appropriate
Describe the concept of a sampling distribution, understand sample estimators and their properties
Interpret and evaluate relationships between variables for business decision-making using simple and multiple linear regression
Undertake inference on single and multiple populations examining differences between means, proportions, and regression coefficients for business decision-making

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Monash Uni - ETF1100: Business Statistics (Solutions)

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