On successful completion of the course, students are expected to be able to:
1. Employ analytical skills to solve simple econometric and statistical problems;
2. Select statistical methods to make basic inferences from sample data and to present and interpret results from a simple regression analysis;
3. Utilise quantitative skills to summarise and present sample data as a basis for making informed decisions;
4. Formulate and conduct estimation and hypothesis testing in a statistical testing framework;
5. Comprehend the assumptions underlying the simple regression models;
6. Apply econometric modelling and forecasting techniques to economic, finance and business data in a MS Excel spreadsheet environment and to interpret and communicate the results in an informed manner.

The topics will vary from year to year but students can expect to develop skills in the following areas.

1. Introduction to Linear Functions
2. Non-linear Function and Applications of Functions & Differentiation
3. Finance
4. Graphics and Introduction to Excel
5. Numerical Descriptive Statistics
6. Probability and Probability Distributions
7. Sampling and Sampling Distribution
8. Estimation
9. Hypothesis Testing
10.Simple Linear Regression and Correlation
11.Time-series analysis and Forecasting
12.Index Numbers

Not applicable

NA

0

Nil

Internal Mode

Lecture
Tutorial

Lecture: for 2 hour(s) per Week for Full Term
Tutorial: for 1 hour(s) per Week for 12 weeks