Credit Points 10

Legacy Code 300962

Coordinator Kenan Matawie Opens in new window

Description This unit introduces the basic statistical concepts and techniques for descriptive and inferential data analysis. It will aid and improve business decision-making, especially when faced with uncertain outcomes.

School Computer, Data & Math Sciences

Discipline Statistics

Student Contribution Band HECS Band 1 10cp

Level Postgraduate Coursework Level 7 subject

Restrictions

Students must be enrolled in a postgraduate program.

Assumed Knowledge

Mathematics to the HSC level.

Learning Outcomes

On successful completion of this subject, students should be able to:

1. Organise, tabulate, present, summarise and graph data appropriately;
2. Apply probability to solve business decision making problems;
3. Define and distinguish between discrete and continuous probability distributions;
4. Estimate population means and proportions using confidence intervals;
5. Test hypotheses about population means and proportions;
6. Understand and apply correlation and linear regression to describe and analyse relationships between variables;
7. Use the Chi-square test for goodness of fit and test for independence to analyse categorical type data;
8. Use the necessary computing skills required in Excel to solve and analyse statistical data.

Subject Content

Data type and collection, graphical and tabular techniques
Numerical descriptive measures, and basic Probability
Discrete and continuous probability distributions
Sampling distribution
Statistical inferences - hypothesis testing
Correlation and Linear regression analysis
Statistical inferences -estimation
Analysis of Categorical data
Index Numbers