Applied statistics is a process where data is analysed progressively to recognise trends and patterns and to understand what is significant or important. Applied statistical methods are useful tools for interpreting data in any industry, notably health, power and energy, transport and mining.

Data Analysis Australia employs a range of exploratory and analytical statistical methodologies including:

• Experimental design
• Regression modelling
• Multivariate analysis, conjoint analysis and perceptual mapping
• Cluster analysis and multi-dimensional scaling
• Time series
• Graphical analysis

After transforming data into a manageable form, statistics can be used to interpret relationships and answer queries. More importantly, Data Analysis Australia uses the results to provide practical, cost-effective solutions for clients.

Data Analysis Australia has used applied statistical analysis for a range of problems in a variety of subject areas including:

• The calibration of geochemical assays in the mining industry
• The analysis of data from agricultural trials
• Variations in health costs in regional areas
• The assessment of trends in environmental measures