Te reo Māori terms
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Master Teaching Guide coverage for this objective.
S4-1
NZC26-P4-STA-DKD-K-Y9-07NZC26-P4-STA-VIS-K-Y9-01
Resources
- Beta: Time series - TSN Skills in Ex 31.03, pg 590
Terminology
- Trend (long-term direction)
- Seasonality (repeating pattern)
- Noise (variation / spikes)
- Cycle
- Fluctuation
- Peak / Trough
Task goals
- Read a specific value at a given time point directly off a time series graph.
- Describe the long-term trend in a full sentence using increasing/decreasing language (never positive/negative), and calculate the amount or percentage change along it.
- Identify seasonality from a graph, including the length of one full cycle and the peak/trough months or quarters.
- Identify a noise point that doesn't fit the surrounding pattern, and distinguish genuine noise from the start of a new trend by checking whether later points resume the original pattern.
- Read a dashed trend/prediction line to make a basic numeric prediction, and explain why such predictions can be inaccurate.
- Recognise when strong seasonality masks an underlying trend, by comparing same-period values (e.g. this Q1 vs. last Q1) across cycles.
Where this fits
What leads into this objective, and where it goes next.
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Interpreting data from Time series - TSN
A time-series investigation looks at a variable over time.
Statement▸
A distribution is formed from all the possible values of a variable and their frequencies. It can be shown using data visualisations that show patterns, trends, and variations and that include dot plots, bar graphs, frequency tables, box plots, histograms, time-series graphs, scatter plots, and two-way tables.
Statement▸
Also under S4-1:
For teachers
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