Handbook

This unit is built around these topics: good-quality data collection, descriptive statistics, statistical inference and identifying misleading graphics.

Good quality data collection: The underlying ideas on sampling and processes to support good quality data collection.

Descriptive statistics: types of data; numerical and graphical description of data; comparing data in multiple groups; describing bivariate data.

Statistical Inference: basic inference techniques (estimations and hypothesis testing) for one mean, two means, multiple means (ANOVA) and regression analysis. Throughout we emphasise the conditions under which inferences will or will not be valid, and how to appropriately express conclusions based on statistical inference. Count data is considered.

Misleading graphic: An introduction to how visual elements like axis manipulation, selective data presentation, and exaggerated scaling can make graphics misleading and affect data interpretation.

MAS183 assumes fluency in mathematics at about the level of Year 10 in Australian high schools. Students enrolling in MAS183 are invited to do a Maths Diagnostic Quiz which will refer them to maths learning support if this may be helpful. Please contact the Unit Coordinator if you have any concerns about your maths background.