ACARA 9-10 Digital Technologies: Trends, outliers and predictions
Students identify patterns and outliers, measure correlation, and use trendlines, SLOPE, INTERCEPT and FORECAST to make predictions while judging how reliable they are.
One content description (AC9TDI10P02) from the full ACARA Digital Technologies Years 9–10 — Analysing and Visualising Data journey. All 12 modules below are in that journey too, with the same content — add just these to a class, or the whole strand.
Modules (12)
1
Finding patterns, trends and outliers
2
Finding outliers with QUARTILE and the IQR rule
3
Conditional formatting
4
Deciding what to do with an outlier
5
Trendlines on a chart
6
Smoothing a trend with a moving average
7
Pearson's correlation coefficient (r) with CORREL
8
Interpreting the value of r
9
Correlation is not causation
10
SLOPE and INTERCEPT for a prediction equation
11
Making predictions with FORECAST
12
Limits and reliability of predictions
For Teachers
Add this journey to your class and track every student in real time.
Create a free teacher account →No credit card. No setup fee. Make a class and invite students in under three minutes.
For Students
Start this journey on Cloodit — track progress, earn badges, and play live sprints with your class.
Start Learning Free →