reSolve: Algorithmic thinking – Data visualisation
This unit teaches students to use modern tools and methods to describe and find relationships in large, authentic, real-world datasets, including the World Bank Open Data for global development. The unit shows how computer-based information visualisation and data analysis can help us to find and to better understand complex relationships in our world. Activities follow a 'journey of discovery' that interprets raw data by applying different visualisation methods.
|Year 9, Year 10
|Teaching strategies and pedagogical approaches
|data representation, algorthmic thinking
|Technologies, Numeracy, STEM/STEAM
|Strand and focus
|Statistics, Build understanding, Apply understanding
|Data representation and interpretation
|AC: Mathematics (V9.0) content descriptions
Compare data distributions for continuous numerical variables using appropriate data displays including boxplots; discuss the shapes of these distributions in terms of centre, spread, shape and outliers in the context of the data
Construct scatterplots and comment on the association between the 2 numerical variables in terms of strength, direction and linearity
Construct two-way tables and discuss possible relationship between categorical variables
Represent the distribution of multiple data sets for numerical variables using comparative representations; compare data distributions with consideration of centre, spread and shape, and the effect of outliers on these measures
Plan and conduct statistical investigations involving the collection and analysis of different kinds of data; report findings and discuss the strength of evidence to support any conclusions?
Analyse claims, inferences and conclusions of statistical reports in the media, including ethical considerations and identification of potential sources of bias
Interpreting and representing data (P8)
ReSolve: Maths by Inquiry
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