ACARA 9-10 Digital Technologies: Analysing data and completing the process
Students analyse and visualise cleaned data to find trends and outliers, draw and communicate conclusions, and apply the whole data science process to a scenario.
One content description (AC9TDI10P01, AC9TDI10P02) from the full ACARA Digital Technologies Years 9–10 — Acquiring and Validating Data journey. All 10 modules below are in that journey too, with the same content — add just these to a class, or the whole strand.
Modules (10)
1
The SUM function
2
Comparing mean and median
3
Pivot tables
4
Finding patterns, trends and outliers
5
Correlation is not causation
6
Drawing conclusions from data
7
Choosing the right chart
8
Spotting misleading charts
9
Communicating insights to an audience
10
Applying the data science process to a scenario
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