AC9M10P02
design and conduct repeated chance experiments and simulations using digital tools to model conditional probability and interpret results
Elaborations
- AC9M10P02_E1using samples of different sizes with and without replacement from a population to identify when the difference in methods becomes negligible
- AC9M10P02_E2recognising that an event can be dependent on another event and that this will affect the way its probability is calculated
- AC9M10P02_E3using simulations to gather data on frequencies for situations involving chance that appear to be counter-intuitive, such as the three-door problem or the birthday problem
- AC9M10P02_E4identifying situations in real-life where probability simulations are used for decision-making, such as supply and demand of product, insurance risk and queueing
- AC9M10P02_E5using simulation to predict the number of people likely to be infected with a strain of flu or virus
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