ETW1010 Data modelling and computing

When you finish this unit, you should be able to:

1. 1

   apply principles and techniques of data management with computers and spreadsheet modelling to business and economic decision-making problems, including profit models, break-even analysis, sensitivity analysis, simulation, optimisation under uncertainty and network models

2. 2

   interpret and evaluate relationships between variables for business and economic decision-making using multiple linear regression, including dummy variables, functional form, trends and seasonality in time series as well as inference, confidence intervals and prediction

3. 3

   apply statistical techniques for making decisions with quantitative and categorical data in business and economics, including testing hypotheses about population mean(s), population proportion(s), one- and two-way analysis of variance, and difference between proportions in contingency tables.