Shared across all four courses, the normal distribution is introduced as a model for continuous data, covering its key properties: symmetry about the mean, the 68-95-99.7 rule, and the bell-curve shape. Students calculate normal probabilities and perform inverse normal calculations using technology. In AA HL, standardisation using z-values is developed and applied to find unknown means or standard deviations when probabilities are known. In AI HL, the normal distribution also appears in the context of confidence intervals and hypothesis testing.
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Start by downloading the cheat sheet and the vocabulary below. After that, move to the video lessons with their respective exercise lists.
Video lessons
Learn the content with the videos provided and reinforce your comprehension by practicing with the exercise list above.
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